photodynamic inactivation by 405±5 nm light emitting diode against foodborne pathogens on ready
Transcript of photodynamic inactivation by 405±5 nm light emitting diode against foodborne pathogens on ready
PHOTODYNAMIC INACTIVATION BY 405±5 NM
LIGHT EMITTING DIODE AGAINST FOODBORNE
PATHOGENS ON READY-TO-EAT FOODS AND
ITS ANTIBACTERIAL MECHANISM
KIM MIN-JEONG
NATIONAL UNIVERSITY OF SINGAPORE
2016
PHOTODYNAMIC INACTIVATION BY 405±5 NM
LIGHT EMITTING DIODE AGAINST FOODBORNE
PATHOGENS ON READY-TO-EAT FOODS AND
ITS ANTIBACTERIAL MECHANISM
KIM MIN-JEONG
(M. Sc. Kyungnam University)
A THESIS SUBMITTED
FOR THE DEGREE OF DOCTOR OF PHILOSOPHY
DEPARTMENT OF CHEMISTRY
NATIONAL UNIVERSITY OF SINGAPORE
2016
i
Declaration
I hereby declare that this thesis is my original work and it has been
written by me in its entirety, under the supervision of Dr. Yuk Hyun-Gyun, (in
the Food Science and Technology research laboratory, S13-05), Chemistry
Department, National University of Singapore, between August 2012 and July
2016.
I have duly acknowledged all the sources of information which have
been used in the thesis.
This thesis has also not been submitted for any degree in any university
previously.
The content of the thesis has been partly published in:
1. Kim, M.J., Mikš-Krajnik, M., Kumar, A., Ghate, V., Yuk, H.G. 2015.
Antibacterial effect and mechanism of high-intensity 405±5nm light
emitting diode on Bacillus cereus, Listeria monocytogenes, and
Staphylococcus aureus under refrigerated condition. Journal of
Photochemistry and Photobiology B: Biology, 153, 33-39.
2. Kim, M.J., Mikš-Krajnik, M., Kumar, A., Yuk, H.G. 2016.
Inactivation by 405±5 nm light emitting diode on Escherichia coli
O157: H7, Salmonella Typhimurium, and Shigella sonnei under
refrigerated condition might be due to the loss of membrane integrity.
Food Control, 59, 99-107.
ii
3. Kim, M.J., Bang, W.S., Yuk, H.G. 2017. 405±5 nm light emitting
diode illumination causes photodynamic inactivation of Salmonella
spp. on fresh-cut papaya without deterioration. Food Microbiology, 62,
124-132.
4. Kim, M.J., Yuk, H.G. 2016. Elucidation of antibacterial mechanism of
405±5 nm light emitting diode against Salmonella spp. at refrigeration
temperature. Applied and Environmental Microbiology (In press).
Kim Min-Jeong 28 July 2016
Name Signature Date
iii
Acknowledgements
I would like to express my sincere appreciation to my supervisor, Dr.
Yuk Hyun-Gyun, for his continuous support, guidance, encouragement, and
patience throughout my Ph.D. study period. His inspiring and friendly
mentorship helped me to think deeper and more extensively on how to
improve and enhance my research work. Without his encouragement, I would
not have been able to complete my research project.
I would like to extend my gratitude to the faculty members and staff of
Food Science and Technology Programme. I would also like to thank Prof.
Liu Shao Quan, Dr. Yang Hongshun, and Dr. Larry R. Beuchat for their
valuable time and critical comments during my Ph.D. examination.
My sincere gratitude goes to Dr Mikš-Krajnik Marta and Dr. Amit
Kumar for their valuable advice and suggestion in several experiments and
manuscripts of my research project. I also thank my previous honours students,
Mr. Zwe Ye Htut who was my first honours student and is one of my present
labmates, Ms. Ng Bao Xian Adeline, and Ms. Kartikasari Lianto Dian, my
previous FST 2nd
year student for UROPS, Mr. Tang Chee Hwa, and my
current internship student from South Korea, Ms. Jeong Da-Min, for their
assistance and commitment in conducting several experiments. Thanks to all
my previous and present labmates, Dr. Zheng Qianwang, Dr. Yang Yishan, Dr.
Ghate Vinayak, Mrs. Lim Sin Yue Hazel, Ms. Pang Xinyi, Ms. Yuan Wenqian,
Ms. Li Xinzhi, and Ms. Josewin Sherrill Wesley, for their kindness and
support.
Finally, I would like to thank my parents, Mr. Kim Hong-Soo and Mrs.
Jung Hye-Sook, my brother, Mr. Kim Dong-Jun, and my husband, Mr. Lee
Tae-Hwa, for their constant love, consideration, and support throughout my
Ph.D. study period in Singapore and my life.
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List of Publications and Manuscripts
Journal
1. Kim, M.J., Mikš-Krajnik, M., Kumar, A., Ghate, V., Yuk, H.G. 2015.
Antibacterial effect and mechanism of high-intensity 405±5nm light
emitting diode on Bacillus cereus, Listeria monocytogenes, and
Staphylococcus aureus under refrigerated condition. Journal of
Photochemistry and Photobiology B: Biology, 153, 33-39.
2. Kim, M.J., Mikš-Krajnik, M., Kumar, A., Yuk, H.G. 2016.
Inactivation by 405±5 nm light emitting diode on Escherichia coli
O157: H7, Salmonella Typhimurium, and Shigella sonnei under
refrigerated condition might be due to the loss of membrane integrity.
Food Control, 59, 99-107.
3. Kim, M.J., Bang, W.S., Yuk, H.G. 2017. 405±5 nm light emitting
diode illumination causes photodynamic inactivation of Salmonella
spp. on fresh-cut papaya without deterioration. Food Microbiology, 62,
124-132.
4. Kim, M.J., Ng, B.X.A., Zwe, Y.H., Yuk, H.G. 2016. Photodynamic
inactivation of Salmonella enterica Enteritidis by 405±5 nm light
emitting diode and its application to control salmonellosis on cooked
chicken. Food Microbiology (Under review).
5. Kim, M.J., Tang, C.H., Yuk, H.G. 2016. Antibacterial effect of 405±5
nm light emitting diode illumination against Escherichia coli O157:H7,
Listeria monocytogenes, and Salmonella on the surface of fresh-cut
mango and its influence on fruit quality. International Journal of Food
Microbiology (Under review).
6. Kim, M.J., Yuk, H.G. 2016. Elucidation of antibacterial mechanism of
405±5 nm light emitting diode against Salmonella spp. at refrigeration
temperature. Applied and Environmental Microbiology (In press).
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Conference
1. Kim, M.J., Mikš-Krajnik, M., Kumar, A., Yuk, H.G. 2014. Effects of
high-intensity 405 nm light emitting diode on inactivation of Gram-
negative foodborne pathogens. International Association for Food
Protection’s European Symposium on Food Safety, Budapest, Hungary.
2. Kim, M.J., Mikš-Krajnik, M., Kumar, A., Chung, H.J., Yuk, H.G.
2015. Antibacterial effect and mechanism of high-intensity 405 nm
light emitting diode on Bacillus cereus, Listeria monocytogenes, and
Staphylococcus aureus under refrigerated condition. International
Association for Food Protection, Oregon, USA.
3. Kim, M.J., Chung, H.J., Yuk, H.G. 2016. Photodynamic inactivation
of Salmonella spp. on fresh-cut papayas and their physicochemical and
nutritional quality changes during 405 nm light emitting diode
illumination at different storage temperatures. International
Association for Food Protection, Missouri, USA.
4. Kim, M.J., Yuk, H.G. 2016. Antibacterial effect of 405 nm light
emitting diode illumination against Escherichia coli O157:H7, Listeria
monocytogenes, and Salmonella on the surface of fresh-cut mango and
its influence on fruit physicochemical and nutritional qualities.
International Union of Food Science and Technology, Dublin, Ireland.
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Table of Contents
Declaration ................................................................................................................ i
Acknowledgements ............................................................................................. iii
List of Publications and Manuscripts ............................................................ iv
Table of Contents .................................................................................................. vi
Summary ................................................................................................................ xii
List of Tables ......................................................................................................... xv
List of Figures ...................................................................................................... xvi
List of Abbreviations ........................................................................................ xxii
List of Symbols ................................................................................................... xxv
Chapter 1 .................................................................................................................. 1
Introduction ............................................................................................................ 1
1.1 Objectives ................................................................................................................... 3
Chapter 2 .................................................................................................................. 5
Literature review .................................................................................................. 5
2.1 LED as a novel food preservation technology ................................................... 5
2.1.1 LED .................................................................................................................................. 5
2.1.2 LED application in agriculture ................................................................................ 6
2.1.3 Clinical application of LED and its antibacterial efficacy .............................. 7
2.1.4 Proposed mechanism of photodynamic inactivation (PDI) ..........................12
2.2 Bacterial defense responses to oxidative stress .............................................. 13
2.3 Foodborne pathogens and their outbreaks related to ready-to-eat (RTE)
foods ................................................................................................................................. 15
2.2.1 Bacillus cereus ............................................................................................................17
2.2.2 Escherichia coli O157:H7 .......................................................................................17
2.2.3 Listeria monocytogenes ............................................................................................18
2.2.4 Salmonella species .....................................................................................................19
2.2.5 Shigella species ...........................................................................................................21
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2.2.6 Staphylococcus aureus .............................................................................................22
Chapter 3 ................................................................................................................ 24
Inactivation by 405±5 nm light emitting diode of Escherichia coli
O157:H7, Salmonella Typhimurium, and Shigella sonnei under
refrigeration may be due to the loss of membrane integrity .............. 24
3.1 Introduction............................................................................................................ 24
3.2 Materials and methods ........................................................................................ 26
3.2.1 Bacterial strains and culture conditions ..............................................................26
3.2.2 LED source ..................................................................................................................26
3.2.3 LED illumination system .........................................................................................27
3.2.4 Bacterial inactivation by 405±5 nm LED illumination ..................................27
3.2.5 Weibull model for bacterial inactivation kinetics ............................................28
3.2.6 Bacterial sensitivity to bile salts and NaCl ........................................................29
3.2.7 Determination of cell membrane permeability .................................................30
3.2.8 Comet assay .................................................................................................................31
3.2.9 DNA ladder analysis .................................................................................................32
3.2.10 Statistical analysis ...................................................................................................32
3.3 Results ...................................................................................................................... 32
3.3.1 Changes in temperature during 405±5 nm LED illumination ......................32
3.3.2 Antibacterial effect of 405±5 nm LED ...............................................................33
3.3.3 Bacterial sensitivity to bile salts and NaCl by 405±5 nm LED illumination
......................................................................................................................................................36
3.3.4 Loss of cell membrane permeability by 405±5 nm LED illumination......36
3.3.5 Effect of 405±5 nm LED illumination on DNA damage ..............................40
3.4 Discussion ................................................................................................................ 41
3.5 Conclusions ............................................................................................................. 46
Chapter 4 ................................................................................................................ 48
Antibacterial effect and mechanism of high intensity 405±5 nm LED
on Bacillus cereus, Listeria monocytogenes, and Staphylococcus
aureus under refrigeration .............................................................................. 48
4.1 Introduction............................................................................................................ 48
4.2 Materials and methods ........................................................................................ 49
4.2.1 Bacterial strains and culture conditions ..............................................................49
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4.2.2 LED source ..................................................................................................................49
4.2.3 LED illumination system .........................................................................................49
4.2.4 Bacterial inactivation by 405±5 nm illumination ............................................49
4.2.5 Weibull model for bacterial inactivation kinetics ............................................49
4.2.6 Bacterial sensitivity to NaCl by LED illumination .........................................50
4.2.7 Determination of bacterial membrane integrity ...............................................50
4.2.8 Determination of DNA degradation .....................................................................50
4.2.9 Statistical analysis ......................................................................................................50
4.3 Results ....................................................................................................................... 51
4.4 Discussion ................................................................................................................ 59
4.5 Conclusions ............................................................................................................. 62
Chapter 5 ................................................................................................................ 64
405 ±5 nm LED illumination causes photodynamic inactivation of
Salmonella on fresh-cut papaya without deterioration ........................ 64
5.1 Introduction............................................................................................................ 64
5.2 Materials and methods ........................................................................................ 65
5.2.1 Bacterial strains and culture conditions ..............................................................65
5.2.2 LED source and illumination system ...................................................................66
5.2.3 Preparation of fresh-cut papaya .............................................................................66
5.2.4 Inoculation on fresh-cut papaya ............................................................................67
5.2.5 LED illumination on fresh-cut papaya ................................................................67
5.2.6 Analysis of cellular lipid peroxidation ................................................................68
5.2.7 Analysis of DNA oxidation ....................................................................................69
5.2.8 Colour analysis ...........................................................................................................70
5.2.9 Texture analysis ..........................................................................................................71
5.2.10 Antioxidant capacity ...............................................................................................71
5.2.11 Total flavonoid content ..........................................................................................72
5.2.12 Ascorbic acid ............................................................................................................72
5.2.13 β-carotene and lycopene ........................................................................................73
5.2.14 Statistical analysis ...................................................................................................73
5.3 Results ...................................................................................................................... 74
5.3.1 Change in temperature of fruit surface and PBS during LED illumination
......................................................................................................................................................74
5.3.2 Behavior of Salmonella on fruit surface during LED illumination ............75
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5.3.3 Oxidative damage to membrane lipid and DNA in Salmonella cells ........78
5.3.4 Changes in colour and texture of cut papaya by LED illumination ...........80
5.3.5 Effect of LED illumination on antioxidant capacity, flavonoid content
and nutrients of fruit ..............................................................................................................81
5.4 Discussion ................................................................................................................ 83
5.5 Conclusions ............................................................................................................. 86
Chapter 6 ................................................................................................................ 88
Antibacterial effect of 405 ±5 nm light emitting diode illumination
against Escherichia coli O157:H7, Listeria monocytogenes, and
Salmonella on the surface of fresh-cut mango and its influence on
fruit quality ........................................................................................................... 88
6.1 Introduction............................................................................................................ 88
6.2 Materials and methods ........................................................................................ 89
6.2.1 Bacterial strains and culture conditions ..............................................................89
6.2.2 LED illumination system .........................................................................................90
6.2.3 Preparation of mango and inoculation .................................................................90
6.2.4 LED illumination .......................................................................................................91
6.2.5 Modified Weibull model for bacterial inactivation kinetics .........................91
6.2.6 Firmness analysis .......................................................................................................91
6.2.7 Colour analysis ...........................................................................................................91
6.2.8 DPPH assay..................................................................................................................92
6.2.9 Total flavonoid content ............................................................................................92
6.2.10 Ascorbic acid content .............................................................................................92
6.2.11 β-carotene content ...................................................................................................92
6.2.12 Statistical analysis ...................................................................................................92
6.3 Results ...................................................................................................................... 92
6.4 Discussion .............................................................................................................. 101
6.5 Conclusions ........................................................................................................... 105
Chapter 7 ............................................................................................................. 106
Photodynamic inactivation of Salmonella enterica Serovar
Enteritidis by 405±5 nm LED and its application to control
salmonellosis on cooked chicken ............................................................... 106
7.1 Introduction.......................................................................................................... 106
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7.2 Materials and methods ...................................................................................... 107
7.2.1 Bacterial strains and culture conditions ........................................................... 107
7.2.2 LED system and illumination .............................................................................. 108
7.2.3 LED illumination of cell suspension................................................................. 108
7.2.4 Preparation of cooked chicken and inoculation ............................................. 109
7.2.5 LED illumination on cooked chicken ............................................................... 109
7.2.6 Cell injury .................................................................................................................. 109
7.2.7 Cellular damage in S. Enteritidis cells caused by LED illumination ...... 110
7.2.8 Statistical analysis ................................................................................................... 111
7.3 Results .................................................................................................................... 111
7.3.1 Temperature change of PBS and cooked chicken surface during
illumination ........................................................................................................................... 111
7.3.2 Antibacterial effect of 405±5 nm LED illumination against S. Enteritidis
in PBS ..................................................................................................................................... 112
7.3.3 Behavior of S. Enteritidis on cooked chicken surface during LED
illumination ........................................................................................................................... 114
7.3.4 Injury of S. Enteritidis on cooked chicken treated with LED illumination
................................................................................................................................................... 117
7.3.5 Sites of cellular damage caused by LED illumination ................................ 119
7.4 Discussion .............................................................................................................. 121
7.5 Conclusions ........................................................................................................... 127
Chapter 8 ............................................................................................................. 129
Elucidation of antibacterial mechanism of 405±5 nm LED against
Salmonella at refrigeration temperature ................................................ 129
8.1 Introduction.......................................................................................................... 129
8.2 Materials and methods ...................................................................................... 130
8.2.1 Bacterial culture conditions ................................................................................. 130
8.2.2 LED illumination system ...................................................................................... 130
8.2.3 Sensitivity of Salmonella strains to LED illumination ................................ 130
8.2.4 LED illumination on bacterial suspension and enumeration ..................... 131
8.2.5 Analysis of intracellular coproporphyrin content ......................................... 131
8.2.6 Analysis of cellular DNA oxidation .................................................................. 132
8.2.7 Determination of damage to bacterial membrane function ........................ 132
8.2.8 Transmission electron microscopy (TEM) ..................................................... 134
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8.2.9 Total RNA isolation and real-time qRT-PCR ................................................ 135
8.2.10 Statistical analysis ................................................................................................ 136
8.3 Results .................................................................................................................... 137
8.3.1 Temperature changes by LED illumination .................................................... 137
8.3.2 Antibacterial efficacy of LED illumination against different Salmonella
strains ...................................................................................................................................... 137
8.3.3 Intracellular coproporphyrin contents .............................................................. 139
8.3.4 DNA oxidation ......................................................................................................... 140
8.3.5 Damage to bacterial membrane function ......................................................... 141
8.3.6 Transmission electron microscopy analysis ................................................... 144
8.3.7 Changes in gene expression levels by LED illumination ........................... 145
8.4 Discussion .............................................................................................................. 146
8.5 Conclusions ........................................................................................................... 153
Chapter 9 ............................................................................................................. 155
Conclusions ........................................................................................................ 155
BIBLIOGRAPHY ................................................................................................. 160
xii
Summary
The use of light emitting diodes (LEDs) has emerged as a promising
food preservation technology in the last few years. However, little information
is available on the efficacy of 405±5 nm LED technology in controlling
foodborne pathogens. The objectives in this study were to evaluate the
antibacterial effects of 405±5 nm LED illumination against pathogenic
bacteria in phosphate-buffered saline (PBS) and on ready-to-eat (RTE) foods
at different temperatures and to elucidate its mechanism of action.
The antibacterial effect of LED illumination against Bacillus cereus,
Escherichia coli O157:H7, Listeria monocytogenes, Salmonella Typhimurium,
Shigella sonnei, and Staphylococcus aureus in PBS was evaluated at a set
temperature of 4 °C for 7.5 h (0.49 kJ/cm2). The potential of LED in
controlling E. coli O157:H7, L. monocytogenes, or Salmonella on fresh-cut
papaya and mango and cooked chicken and its influence on fruit qualities was
also examined at different temperatures for 20–48 h (0.86–3.82 kJ/cm2).
Results showed that LED illumination inactivated 0.8–2.1 log CFU/mL of
bacterial populations during treatment for 7.5 h in PBS. On fresh-cut fruits at 4
and 10 °C, LED illumination inactivated E. coli O157:H7, L. monocytogenes,
or Salmonella, while bacterial growth was inhibited or delayed by LED
illumination at room temperature. Unlike these fruits, only three S. Enteritidis
strains on cooked chicken surface were inactivated at 4 °C by LED
illumination, whereas bacterial inhibition and delay of growth were observed
at 10 and 20 °C, respectively. Furthermore, no significant differences were
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found in physicochemical and nutritional qualities between LED-illuminated
and non-illuminated fruits.
The antibacterial mechanism of 405±5 nm LED illumination against
Salmonella at a set temperature of 4 °C in PBS was elucidated. Results
showed that eighteen Salmonella strains responded differently to LED
illumination, revealing that S. Enteritidis (ATCC 13076) and S. Saintpaul were
more susceptible and resistant, respectively, among the strains. However, there
was no difference in the amount of endogenous coproporphyrin between the
two strains. In illuminated cells, DNA oxidation levels increased and loss of
membrane potential and integrity, glucose uptake activity, and efflux pump
activity were observed, compared to non-illuminated cells. Transmission
electron microscopic images revealed disorganization of chromosome and
ribosome due to LED illumination. Furthermore, oxyR, recA, rpoS, sodA, and
soxR genes in S. Saintpaul cells were upregulated, while only oxyR gene in S.
Enteritidis cells were upregulated at a set temperature of 4 °C in PBS without
LED illumination, indicating that an increased gene expression levels might be
due to temperature-shift and nutritious deficiency rather than LED
illumination. Thus, different sensitivities of the two strains to LED
illumination might be attributed to differences in gene regulation.
Through these studies, the efficacy of 405±5 nm LED illumination in
inactivating foodborne pathogens on RTE foods at refrigerated temperatures
was demonstrated. Overall results suggest that a food chiller equipped with
405±5 nm LEDs could preserve RTE foods at food service establishments.
Moreover, these data provide detailed insights into the antibacterial
xiv
mechanism of 405±5 nm LED illumination on Salmonella cells and their
response to it.
xv
List of Tables
Table 2-1 Photodynamic inactivation on various microorganisms in buffered
solution or food matrix by LED illumination with photosensitizers. ......... 9
Table 2-2 Antibacterial effects of blue LED illumination without the addition
of photosensitizers against various microorganisms in PBS and broth. . 11
Table 2-3 Summary of foodborne outbreaks associated with fruits, vegetables,
and chicken. .............................................................................................................. 16
Table 3-1 Weibull model parameters1 for the inactivation of E. coli O157:H7,
S. Typhimurium, and S. sonnei by 405±5 nm LED illumination. ............. 35
Table 4-1 Weibull model parameters1 for the inactivation of B. cereus, L.
monocytogenes, and S. aureus by 405 nm LED illumination. ................... 54
Table 5-1 Colour and texture changes1 in fresh-cut papaya by 405±5 nm LED
illumination. .............................................................................................................. 80
Table 5-2 Effects of 405±5 nm LED illumination on antioxidant capacity1 and
ascorbic acid, flavonoid, β-carotene, and lycopene contents1 in fresh-cut
papaya at varying storage temperatures. .......................................................... 82
Table 6-1 Comparison of the tR-values1 of E. coli O157:H7, L. monocytogenes,
and Salmonella by 405±5 nm LED illumination at refrigeration
temperatures using Weibull model parameters1. ........................................... 97
Table 6-2 Effect of 405±5 nm LED illumination on antioxidant capacity1 and
ascorbic acid, β-carotene, and flavonoid contents1 of fresh-cut mangoes
stored at different temperatures. ....................................................................... 101
Table 7-1 Comparison of the decimal reduction dose (D-values)1 of three S.
Enteritidis strains treated with 405±5 nm LED illumination at 4 and 10
°C. .............................................................................................................................. 114
Table 8-1 Gene functions and primer sequences. ................................................. 136
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List of Figures
Figure 2-1 Reactive oxygen species (ROS) generated during photodynamic
inactivation (PDI). PS, photosensitizer; 1PS
* and
3PS
*, excited
photosensitizer in singlet and triplet states, respectively, from ground
state; 3O2, ground state triplet oxygen (Mikš-Krajnik et al., 2015). ......... 13
Figure 3-1 Inactivation of E. coli O157:H7 (a), S. Typhimurium (b) and S.
sonnei (c) during the illumination with 405±5 nm LED at 4 °C. Asterisk
(*) indicates significant (P ≤ 0.05) difference between LED-illuminated
and non-illuminated cell counts. ......................................................................... 34
Figure 3-2 Changes in the sensitivity of E. coli O157:H7 (a), S. Typhimurium
(b) and S. sonnei (c) to 1% bile salts during 405±5 nm LED illumination.
Different letters (A-B or a-b) within the same bar indicate that the mean
values are significantly (P ≤ 0.05) different from each other. Asterisk (*)
indicates significant (P ≤ 0.05) difference between LED-illuminated and
non-illuminated cell counts. ................................................................................. 37
Figure 3-3 Changes in sensitivity of E. coli O157:H7 (a), S. Typhimurium (b)
and S. sonnei (c) to NaCl (2% for S. sonnei, and 3% for E. coli O157:H7
and S. Typhimurium) during 405±5 nm LED illumination. ....................... 38
Figure 3-4 The microscopic images of E. coli O157:H7 (a), S. Typhimurium
(b) and S. sonnei (c) cells stained with LIVE/DEAD® BacLight
TM before
and after LED illumination at the dose of 486 J/cm2. .................................. 39
Figure 3-5 Comet assay of DNA extracted from healthy, non-illuminated and
LED-illuminated E. coli O157:H7 (a), S. Typhimurium (b) and S. sonnei
(c) at the dose of 486 J/cm2. ................................................................................. 40
Figure 3-6 Agarose gel electrophoresis profiles of DNA extracted from
healthy, non-illuminated and LED-illuminated cells at the dose of 486
J/cm2. Lane: 1, healthy S. Typhimurium; 2, S. Typhimurium without LED
illumination for 7.5 h; 3, LED-illuminated S. Typhimurium for 7.5 h; 4,
healthy E. coli O157:H7; 5, E. coli O157:H7 without LED illumination
for 7.5 h; 6, LED-illuminated E. coli O157:H7 for 7.5 h; 7, healthy S.
sonnei; 8, S. sonnei without LED illumination for 7.5 h; 9, LED-
illuminated S. sonnei for 7.5 h. ........................................................................... 41
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Figure 4-1 Antibacterial effect of B. cereus (a), L. monocytogenes (b) and S.
aureus (c) during the illumination with 405 nm LED at a set temperature
of 4 °C. Asterisk (*) indicates significant (P ≤ 0.05) differences between
LED-illuminated and non-illuminated cell counts. ....................................... 52
Figure 4-2 Percentage of the sensitive B. cereus (a), L. monocytogenes (b) and
S. aureus (c) cells to NaCl (4% for B. cereus and L. monocytogenes, and
7% for S. aureus) during 405 nm LED illumination. Different letters
within the same curve indicate that mean values are significantly (P ≤
0.05) different from each other. .......................................................................... 56
Figure 4-3 Epifluorescent micrographs of B. cereus (a), L. monocytogenes (b)
and S. aureus (c) cells stained with LIVE/DEAD® BacLight
TM before and
after LED illumination at a dose of 486 J/cm2. .............................................. 57
Figure 4-4 Comet assay of DNA extracted from healthy, non-illuminated and
LED-illuminated B. cereus (a), L. monocytogenes (b) and S. aureus (c) at
a dose of 486 J/cm2. ................................................................................................ 58
Figure 4-5 Agarose gel electrophoresis profiles of DNA extracted from
healthy, non-illuminated and LED-illuminated cells at a total dose of 486
J/cm2. Lane: 1, healthy S. aureus; 2, S. aureus without LED illumination
for 7.5 h; 3, LED-illuminated S. aureus for 7.5 h; 4, healthy L.
monocytogenes; 5, L. monocytogenes without LED illumination for 7.5 h;
6, LED-illuminated L. monocytogenes for 7.5 h; 7, healthy B. cereus; 8,
B. cereus without LED illumination for 7.5 h; 9, LED-illuminated B.
cereus for 7.5 h. ....................................................................................................... 58
Figure 5-1 Surface temperature profile of buffered solution (a) in an
acrylonitrile butadiene styrene (ABS) housing at a distance of 2.3 cm and
fresh-cut papaya (b) in an ABS housing at a distance of 4.5 cm recorded
during 405±5 nm LED illumination at 4 °C.................................................... 75
Figure 5-2 Effects of 405±5 nm LED illumination on survival of S. Agona (a),
S. Newport (b), S. Saintpaul (c), and S. Typhimurium (d) on the surface
of fresh-cut papaya at 4 °C (actual temperature of 7.2 °C). Asterisk (*)
indicates significant (P ≤ 0.05) difference between LED-illuminated and
non-illuminated bacterial cell counts. ............................................................... 76
Figure 5-3 Effects of 405±5 nm LED illumination on survival of S. Agona (a),
S. Newport (b), S. Saintpaul (c), and S. Typhimurium (d) on the surface
of fresh-cut papaya at 10 °C (actual temperature of 13.2 °C). ................... 77
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Figure 5-4 Effects of 405±5 nm LED illumination on survival of S. Agona (a),
S. Newport (b), S. Saintpaul (c), and S. Typhimurium (d) on the surface
of fresh-cut papaya at 20 °C (actual temperature of 23.2 °C). ................... 78
Figure 5-5 Log reduction (a) in S. Agona (SA) and S. Typhimurium (ST) and
lipid peroxidation (b) by 405±5 nm LED illumination at 4 °C for 7 h (a
total dose of 0.9 kJ/cm2) in PBS. ........................................................................ 79
Figure 5-6 Log reduction (a) in S. Agona (SA) and S. Typhimurium (ST) and
the level of 8-hydroxydeoxyguanosine (8-OHdG) (b) by 405±5 nm LED
illumination at 4 °C for 7 h (a total dose of 0.9 kJ/cm2) in PBS. .............. 79
Figure 6-1 Temperature profile on the surface of fresh-cut mango during
405±5 nm LED illumination at set temperatures of 4, 10, and 20 °C,
respectively. .............................................................................................................. 93
Figure 6-2 Survival of E. coli O157:H7 (a), L. monocytogenes (b), and
Salmonella (c) on the surface of fresh-cut mango at a set temperature of 4
°C (actual temperature of 7.2 °C) by 405±5 nm LED illumination.
Asterisk (*) indicates significant (P ≤ 0.05) difference between LED-
illuminated and non-illuminated bacterial cell counts. Different letters (A–
C or a–c) in the same bar are significantly (P ≤ 0.05) different one another.
...................................................................................................................................... 94
Figure 6-3 Survival of E. coli O157:H7 (a), L. monocytogenes (b), and
Salmonella (c) on the surface of fresh-cut mango at a set temperature of
10 °C (actual temperature of 13.2 °C) by 405±5 nm LED illumination. 95
Figure 6-4 Survival of E. coli O157:H7 (a), L. monocytogenes (b), and
Salmonella (c) on the surface of fresh-cut mango at a set temperature of
20 °C (actual temperature of 23.2 °C) by 405±5 nm LED illumination. 96
Figure 6-5 Comparison of yellowness index (YI) between 405±5 nm LED
illuminated and non-illuminated mangoes at set temperatures of 4 °C (a),
10 °C (b), and 20 °C (c). A letter (a)
in the same bar did not differ
significantly (n=6; P ≥ 0.05). .............................................................................. 99
Figure 6-6 Change in firmness (N) of fresh-cut mango by 405±5 nm LED
illumination at set temperatures of 4 °C (a), 10 °C (b), and 20 °C (c). . 100
Figure 7-1 Schematic diagrams of a 405±5 nm LED illumination system. . 108
Figure 7-2 Inactivation curves for S. Enteritidis 124 (a), 125 (c), and 130 (e)
at 4 °C and S. Enteritidis 124 (b), 125 (d), and 130 (f) at 20 °C for 7.5 h
xix
(a total dose of 0.45 kJ/cm2) in PBS. Asterisk (
*) indicates significant (P
≤ 0.05) difference between non-illuminated control and illuminated cell
counts........................................................................................................................ 113
Figure 7-3 The effectiveness of 405±5 nm LED illumination on survival of S.
Enteritidis 124 (a), 125 (b), and 130 (c) on the surface of cooked chicken
at 4 °C. ...................................................................................................................... 115
Figure 7-4 The effectiveness of 405±5 nm LED illumination on survival of S.
Enteritidis 124 (a), 125 (b), and 130 (c) on the surface of cooked chicken
at 10 °C. ................................................................................................................... 116
Figure 7-5 The effectiveness of 405±5 nm LED illumination on survival of S.
Enteritidis 124 (a), 125 (b), and 130 (c) on the surface of cooked chicken
at 20 °C. ................................................................................................................... 117
Figure 7-6 Percentage of injured S. Enteritidis 124 (a), 125 (b), and 130 (c)
cells on the surface of cooked chicken at a set temperature of 4 °C. ..... 118
Figure 7-7 Percentage of injured S. Enteritidis 124 (a), 125 (b), and 130 (c)
cells on the surface of cooked chicken at a set temperature of 10 °C. .. 119
Figure 7-8 Changes in metabolic inhibition of S. Enteritidis 130 caused by
ampicillin (Amp), chloramphenicol (Chl), nalidixic acid (Nal), and
rifampicin (Rif), respectively, after LED illumination on the chicken
surface at 4 °C for 22 h. Different letters (A–C)
within the same antibiotic
differ significantly (n=6; P ≤ 0.05). ................................................................ 120
Figure 8-1 Cellular target sites for fluorescent probes. A loss of specific
membrane functions is measured with fluorescent probes equipped with
flow cytometry; efflux pump activity with EtBr; glucose uptake activity
[glucose-specific phosphoenolpyruvate-phosphotransferase system (PEP-
PTS)] with 2-NBDG; depolarisation with DiBAC4(3); permeability with
PI; and total counts with SYTO®9. .................................................................. 133
Figure 8-2 Antibacterial effect of 405±5 nm LED illumination against 18
Salmonella spp. for 4 h at 4 °C (actual temperature at 9.5 °C) on TSA
plates; non-illuminated Salmonella spp. (a) and LED-illuminated
Salmonella spp. (b). Lane: 1, S. Agona; 2, S. Enteritidis ATCC 13076; 3,
S. Enteritidis 109; 4, S. Enteritidis 124; 5, S. Enteritidis 125; 6, S.
Enteritidis 130; 7, S. Gaminara; 8, S. Heidelberg; 9, S. Montevideo; 10, S.
Newport; 11, S. Poona; 12, S. Saintpaul; 13, S. Tennessee; 14, S.
Typhyimurium ATCC 14028; 15, S. Typhimurium ATCC 13311; 16, S.
xx
Typhimurium ATCC 25241; 17, S. Typhimurium ATCC 29269; 18, S.
Typhimurium ATCC 51812............................................................................... 138
Figure 8-3 Survival curves of S. Enteritidis ATCC 13076 (a) and S. Saintpaul
ATCC 9712 (b) during 405±5 nm LED illumination at a set temperature
of 4 °C for 8 h (a total dose of 576 J/cm2) in PBS. The detection limit was
1 CFU/mL. Asterisk (*) indicates significant (P ≤ 0.05) difference
between illuminated and non-illuminated control cells. ............................ 139
Figure 8-4 The amount of coproporphyrin extracted from stationary phase
bacterial cells. A letter (a)
between the two strains did not differ
significantly (n=6; P > 0.05).............................................................................. 140
Figure 8-5 Change in the level of 8-hydroxydeoxyguanosine (8-OHdG) of S.
Enteritidis (a) and S. Saintpaul (b) by 405±5 nm LED illumination at a
set temperature of 4 °C. Different letters (a–b)
in the same bar are
significantly (P ≤ 0.05) different from each other. ..................................... 141
Figure 8-6 Flow cytometry plots of S. Enteritidis cells stained with
SYTO®9/EtBr, SYTO
®9/PI, DiBAC4(3), or 2-NBDG after 405±5 nm
LED illumination at a set temperature of 4 °C. ............................................ 142
Figure 8-7 Changes in cellular functions of S. Enteritidis and S. Saintpaul
during 405±5 nm LED illumination at a set temperature of 4 °C. Loss of
efflux pump activity with SYTO®9/EtBr (a); loss of glucose uptake
activity with 2-NBDG (b); Loss of membrane potential with DiBAC4(3);
loss of membrane integrity stained with SYTO®9/PI (d). Uppercase
letters (A–C)
in the same bar and lowercase letters (a–c)
in the same
exposure time are significantly (P ≤ 0.05) different one another. .......... 143
Figure 8-8 Micrographs of non-illuminated and LED-illuminated S.
Enteritidis cells at a set temperature of 4 °C for 10 h (a total dose of 720
J/cm2): (a), non-illuminated control cells at 10,000 ×; (b), non-
illuminated control cells at 40,000 ×; (c), LED-illuminated cells at 10,000
×; (d), LED-illuminated cells at 40,000 ×. The morphological change in
illuminated cells is highlighted by an arrow. ................................................ 144
Figure 8-9 Relative expression levels of oxyR, sodA, soxR, recA, and rpoS of
non-illuminated and LED-illuminated cells of S. Enteritidis (a) and S.
Saintpaul (b) at a set temperature of 4 °C for 1 h (a total dose of 72
J/cm2). Asterisk (*) indicates significant (P ≤ 0.05) difference between
illuminated and non-illuminated control counts. ......................................... 145
xxi
Figure 9-1 Illustration of the proposed bacterial mechanism of 405±5 nm
LED illumination at a refrigeration temperature. ROS generated during
LED illumination might attack DNA and bacterial membrane (A–E). PC,
porphyrin compound; Cyt, cytochrome complexes; PEP-PTS,
phosphoenolpyruvate: sugar phosphotransferase system. ......................... 159
xxii
List of Abbreviations
ABS Acrylonitrile butadiene styrene
ALA Aminolevulinic acid
ATCC American Type Culture Collection
BHT Butylated hydroxytoluene
CDC Centers for Disease Control and Prevention
cDNA Complementary DNA
CFU Colony-forming units
Chl Chlorophyllin
DAEC Diffusely adherent Escherichia coli
DCIP Dichloroindophenol sodium salt
DiBAC4(3) bis-(1,3-dibutylbarbituric acid) trimethine oxonol
DPPH Diphenyl-1-picrylhydrazyl
EAEC Enteroaggregative Escherichia coli
EFSA European Food Safety Authority
EIEC Enteroinvasive Escherichia coli
ELISA Enzyme-linked immunosorbent assay
EDTA Ethylenediaminetetraacetic acid
EtBr Ethidium bromide
ETEC Enterotoxigenic Escherichia coli
F Forward
FDA Food and Drug Administration
FL Fluorescent filter
FSC Forward scatter
FW Fresh weight
HPLC High performance liquid chromatography
HUS Hemolytic uremic syndrome
Hyp Hypericin
LED Light emitting diode
LPS Lipopolysaccharide
xxiii
LSD Least significant difference
MDA Malondialdehyde
MOH Ministry of Health in Singapore
MRSA Methicillin resistant Staphylococcus aureus
2-NBDG 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl) amino]-
2-deoxy-D-glucose
NIR-UV Near-infrared heating and UV
8-OHdG 8-Hydroxydeoxyguanosine
PBS Phosphate-buffered saline
PBP Penicillin-binding proteins
PDI Photodynamic inactivation
PI Propidium iodide
PW Peptone water
QE Quercetin equivalents
qRT-PCR Quantitative reverse transcription-polymerase
chain reaction
R Reverse
ROS Reactive oxygen species
RTE Ready-to-eat
SDS Sodium dodecyl sulfate
SE Salmonella Enteritidis
SEs Staphylococcal enterotoxins
SFP Staphylococcal food poisoning
SOD Superoxide dismutase
SSC Side scatter
STEC Shiga toxin-producing Escherichia coli
TAE Tris-acetate-EDTA
TBA Thiobarbituric acid
TBARS Thiobarbituric acid reaction substance
TCA Trichloroacetic acid
TE Trolox equivalents
TEM Transmission electron microscopy
TSA Tryptone soy agar
xxiv
TSB Tryptone soy broth
UV Ultraviolet
WHO World Health Organization
XLD Xylose-lysine-desoxycholate agar
YI Yellow index
xxv
List of Symbols
H2O2 Hydrogen peroxide
●OH Hydroxyl radicals
O2●―
Superoxide anion
E Dose in J/cm2
P Irradiation in W/cm2
t Time in second or hour
N Microbial population in CFU/mL
N0 Initial inoculation level in CFU/mL
tR Reliable life in Weibull model (hour)
α Scale parameter in Weibull model (hour)
β Shape parameter in Weibull model
% Percent
° Degree
°C Degree Celsius
ng Nanogram
μg Microgram
mg Milligram
g Gram
μL Microliter
mL Milliliter
L Liter
mm Millimeter
cm Centimeter
cm2 Square centimeter
nM Nanomolar
μM Micromolar
mM Millimolar
s Second
min Minute
xxvi
h Hour
bp Base pair
R2 Coefficient of determination
ΔE Colour difference
N Newton
1
Chapter 1
Introduction
Concerns about microbiological food safety have dramatically increased
recently since foods contaminated with pathogenic bacteria can threaten our
daily life by causing serious illnesses. In the data released by the United States
Centers for Disease Control and Prevention (CDC) in 2013, 287 outbreaks
caused by foodborne pathogens were reported, resulting in a total of 5,430
confirmed cases of illnesses, 872 hospitalizations, and 13 deaths in the United
State (US) (CDC, 2015). Listeria monocytogenes, Shiga toxin-producing
Escherichia coli (STEC) and Salmonella spp. were among the top five
foodborne pathogens causing death in these outbreaks (CDC, 2015). Besides
these pathogens, Bacillus cereus and Staphylococcus aureus have been
identified as major causative agents of the foodborne outbreaks in the
European Union (EU) (EFSA, 2014).
Pathogenic bacteria are widely existent in the environment and can
survive and/or grow at a wide range of temperatures. In particular, survival
and growth of these pathogenic bacteria in foods at refrigeration temperature
is of great concern with regard to safety. This is because pathogens, for
instance, E. coli O157:H7 and Salmonella spp., are capable of surviving at
chilling temperatures during storage and transportation. Moreover, outbreaks
of L. monocytogenes, a psychrotrophic pathogen, have been linked to cold-
2
stored ready-to-eat (RTE) products such as smoked fish, deli meat, and soft
cheese due to its ability to grow at refrigerated temperatures (Lianou and
Sofos, 2007). For this reason, cold storage, which is one of the most widely
used preservation techniques, should not be applied alone as a mean to
minimize the risk of foodborne disease. Therefore, it is necessary to
implement another technology as a second hurdle with low temperature
control to enhance microbiological safety of foods during storage (Ghate et al.,
2013; Lim et al., 2013).
A light emitting diode (LED) of visible wavelengths has recently
received increased attention as an emerging food preservation technology due
to its antibacterial effect, called photodynamic inactivation (PDI). The
proposed mechanism of PDI requires three components: visible light in the
wavelength range of 400–430 nm, photosensitizers, and oxygen (Luksienė and
Zukauskas, 2009). Once bacterial cells are exposed to light, the
photosensitizer, such as intracellular porphyrin compounds, absorbs light
energy and then is excited, resulting in the production of reactive oxygen
species (ROS) by transferring energy to oxygen. ROS can bring about a
cytotoxic effect by interacting with adjacent intracellular components, such as
DNA, proteins, and lipids, resulting in bacterial death (Luksienė and
Zukauskas, 2009).
Based on this proposed antibacterial mechanism of LED illumination,
some previous studies have shown the antibacterial efficacy of blue LEDs
against pathogenic bacteria in buffered solutions or food matrices with the
addition of exogenous photosensitizers, such as chlorophyllin and porphyrin
(Luksienė and Zukauskas, 2009; Luksienė and Paskeviciute, 2011; Maclean et
3
al., 2009). However, little research has been performed to investigate the
antibacterial effect of 405±5 nm LED illumination on pathogenic bacteria in
various foods without the aid of exogenous photosensitizers. Furthermore, to
the best of my knowledge, its detailed antimicrobial mechanism against
foodborne pathogens without an additional exogenous photosensitizer has not
been fully understood.
1.1 Objectives
The overall objective of this project was to evaluate the mechanism
responsible for inactivation of foodborne pathogens by 405±5 nm LED as well
as its application to RTE foods to enhance their microbiological safety during
storage. The specific aims for the entire duration of the PhD candidature are
listed as follows:
(1) Investigate the antibacterial effects of 405±5 nm LED on the selected
Gram-negative and –positive foodborne pathogens in PBS solution
(Chapters 3 and 4);
(2) Evaluate the potential of 405±5 nm LED on inhibition or inactivation
of E. coli O157:H7, L. monocytogenes, or Salmonella spp. on RTE
foods at different storage temperatures (Chapters 5, 6, and 7);
(3) Investigate the influence of long-term LED illumination on
physicochemical and nutritional qualities of RTE foods (Chapters 5
and 6);
(4) Elucidate the antibacterial mechanism of 405±5 nm LED illumination
against foodborne pathogens at refrigeration temperatures by
determining endogenous coproporphyrin content, damage to bacterial
4
DNA, membrane function, and metabolism, morphological change,
and regulatory gene expression level (Chapters 3,4, 5, 7, and 8).
5
Chapter 2
Literature review
2.1 LED as a novel food preservation technology
Ultraviolet (UV) light is able to inactivate microorganisms on the
surfaces of foods during storage. However, UV light leads to discolourization
in certain food products during long-term exposure and has harmful effects on
skin tissue and eyes of the operator, resulting in limitation of UV light as a
preservation technology in the food industry (Maclean et al., 2009; Murdoch
et al., 2010). To overcome these shortcomings of UV light, LEDs of visible
wavelengths have been investigated as an alternative.
2.1.1 LED
A LED is a solid-state semiconductor device able to emit light by an
electric current (Gupta and Jatothu, 2013). Its construction generally
compromises a p–n junction between two semiconductors, namely a p–side
(anode) and an n–side (cathode). Current flows only from the p–side where a
carrier is positively charged holes to the n–side at which current is carried
through mobile electrons (Gupta and Jatothu, 2013; Dume, 2006). These
electrons and holes recombine in the junction when a suitable voltage is
applied, and then fall into a lower energy level, followed by release of photon
6
energy. This process, called electroluminescence, emits light and the colour of
the emitted light is determined by the energy band gap of the semiconducting
materials (Gupta and Jatothu, 2013). Therefore, LEDs emit visible light within
a narrow and specific wavelength spectrum.
LEDs have several advantages such as lower energy consumption, high
durability, reduced heat output, and long life compared to traditional visible
light sources (Ghate et al., 2013; Mori et al., 2007). LEDs can also be
fabricated in small sizes and various shapes, which could be applied to most
designs (Ghate et al., 2013; Mori et al., 2007). For these reasons, LED
technology has been widely used in various industries such as lighting,
electronics, and agriculture.
2.1.2 LED application in agriculture
Since light is a key component to influence the growth and development
of plants undergoing photosynthesis (Ma et al., 2011), LEDs have attracted the
attention of researchers in agriculture to promote the growth of plants and
flowering. Red light is absorbed by plant pigments such as chlorophyll that is
near 660 nm of the absorption peak (Massa et al., 2008). It is also known that
blue light plays an essential role in photomorphogen of plants, thereby
influencing stem elongation, chloroplast development, and exchange of carbon
dioxide and water retention through stomata (pores) (Ma et al., 2011; Massa et
al., 2008). In particular, blue (430–450 nm) and/or red (650–670 nm) LEDs
contribute to the photosynthesis in plants, resulting in the improvement of
nutritional quality of vegetables (Olle and Viršile, 2013). For example, 660 nm
LED illumination on flavedo increases the amount of β-cryptoxanthin as one
7
of carotenoids abundant in citrus fruits compared to controls in the dark
condition (Ma et al., 2011). Another study demonstrated higher flavonoid and
β-carotene contents in a variety of plants and fruits as a result of 440 nm LED
illumination compared levels held in the dark (Hong et al., 2015).
2.1.3 Clinical application of LED and its antibacterial efficacy
Some previous studies demonstrated the potential for application of blue
LEDs as a light therapy to inactivate medically important bacterial pathogens
(Elman et al., 2003; Maclean, 2010). For instance, Elman et al. (2003)
reported that treatment with blue light (405–420 nm) resulted in a reduction of
59 – 67% of Propionibacterium acnes, the major cause of acne on the face.
Maclean et al. (2010) demonstrated that methicillin-resistant S. aureus
(MRSA) isolated from infected burn patients is reduced by 56% to 86% of
surface bacterial levels in a hospital room by 405 nm LED illumination. Based
on the antibacterial effects of blue light, the Food and Drug Administration
(FDA) in the US approved several blue light devices for the treatment of
inflammatory acne vulgaris (Gold, 2008).
Blue light at 405–420 nm with the aid of 5-aminolevulinic acid (5-ALA)
has been proven to be antibacterial to Clostridium, Pseudomonas,
Staphylococcus, and Streptococcus (Nitzan et al., 2004). Vaitonis and
Luksienė (2010) reported that the populations of B. cereus, L. monocytogenes,
and Salmonella enterica in PBS solution were inactivated by 4–6.5 log within
20 min due to 410 nm LED illumination with the addition of 5-ALA, a
precursor of the endogenous heme. Another study showed that illumination of
405 nm LED with chlorophyllin (Chl) inactivated by 6.5 log for L.
8
monocytogenes within 4 min and 2 log for S. Typhimurium within 40 min,
revealing that L. monocytogenes was more sensitive to LED illumination in
the presence of Chl (Luksienė et al., 2013). Nakamura et al. (2015) have
shown that 400 nm LED with the addition of chlorogenic acid in PBS
inactivated about 5 logs of E. coli, P. aeruginosa, and S. aureus.
Several studies have demonstrated the efficacy of LED illumination in
eliminating pathogenic bacteria on foods with the addition of photosensitizers
and their results are summarized in Table 2–1. For example, 400 nm LED
illumination with Chl Na-salt (Na-Chl) for 20 min resulted in 1.8 log reduction
for L. monocytogenes on the surface of strawberries (Luksienė and
Paskeviciute, 2011). Similarly, Aponiene et al. (2015) have shown that the
antibacterial action of 585 nm LED illumination with the addition of 15 μM
hypericin (Hyp) for 30 min reduced the populations of B. cereus on the surface
of apricots, cauliflowers, and plumes by 1.1, 1.3, and 0.8 log CFU/g,
respectively. The population of B. cereus in PBS at 0.1 μM Hyp decreased by
4.4 log CFU/mL for 40 min of LED illumination in the same study.
Due to consumer demand for additive free foods regardless whether
natural or not, recent studies have focused on a potential use of blue LED
technology without the addition of exogenous photosensitizers. The results
obtained from previous studies are summarized in Table 2–2.
9
Table 2-1 Photodynamic inactivation on various microorganisms in buffered solution or food matrix by LED illumination with photosensitizers.
Light Photosensitizer Matrix Microorganism Log reduction Dose (J/cm2) Reference
400 nm Chl
ALA
PBS L. monocytogenes
S. Typhimurium
L. monocytogenes
S. Typhimurium
7.0
2.2
3.8
6.6
3.6
29
14
29
Luksienė et al.,
2012
400 nm Chlorogenic acid
Caffeic acid
PBS
E. coli
Enterococcus faecalis
Pseudomonas aeruginosa
Streptococcus mutans
E. coli
E. faecalis
P. aeruginosa
S. aureus
S. mutans
3.2
1.0
5.0
5.0
5.0
2.6
5.0
5.0
5.0
78
Nakamura et
al., 2015
400 nm ALA PBS L. monocytogenes 3.7 18 Buchovec et
al., 2010
400 nm Na-Chl Cherry tomatoes
Chinese cabbage
Iceberg lettuce
B. cereus 2.3
1.8
1.7
6 Paskeviciute &
Luksienė 2009
405 nm ALA PBS
Plastic food-related
packaging
B. cereus spores 3.7
2.7
18
Luksienė et al.,
2009
10
Table 2–1 Continued.
Light Photosensitizer Matrix Microorganism Log reduction Dose (J/cm2) Reference
405 nm Chl
ZnO nanoparticles
PBS E. coli O157:H7
3.0
4.6
380
380
Aponiene &
Luksienė, 2015
405 nm Chl
Chl-chitosan
PBS
Strawberries
PBS
Strawberries
S. Typhimurium 1.8
1.3
7.0
2.2
38
38
19
38
Buchovec et
al., 2016
407–420 nm ALA PBS Acinetobacter baumannii
B. cereus
E. coli
S. aureus
S. epidermidis
S. faecalis
1.4
1.9
1.4
7.0
7.0
0.0
100 Nitzan et al.,
2004
410 nm ALA PBS B. cereus
L. monocytogenes
Salmonella
6.5
4.0
6.5
24 Vaitonis &
Luksienė, 2010
462 nm Flavin
mononucleotide
PBS E. coli 1.4 14 Liang et al.,
2015
585 nm
Hyp PBS
Apricots
Cauliflowers
B. cereus 4.4
1.1
1.3
9.2
6.9
6.9
Aponiene et
al., 2014
11
Table 2-2 Antibacterial effects of blue LED illumination without the addition
of photosensitizers against various microorganisms in PBS and broth.
Light Microorganism
Reduction
(log CFU/mL)
Dose
(J/cm2) Reference
405 nm A. baumannii
Clostridium perfringens
E. coli
E. faecalis
P. aeruginosa
S. aureus MRSA
S. epidermidis
S. pyogenes
4.2
4.4
3.1
2.6
4.2
5.0
4.6
5.0
108
45
180
216
180
36
45
54
Maclean
et al.,
2009
405 nm C. jejuni
E. coli O157:H7
S. Enteritidis
5.3
5.3
3.0
18
288
288
Murdoch
et al.,
2010
405 nm E. coli O157:H7
L. monocytogenes
S. Enteritidis
S. sonnei
5.0
5.0
3.5
5.0
288
108
288
180
Murdoch
et al.,
2012
405 nm E. coli
L. ivanovii
L. monocytogenes
L. seeligeri
S. Enteritidis
S. sonnei
4.5
4.1
3.7
3.3
1.4
3.9
555
185
185
185
740
555
Endarko et
al., 2012
461 nm E. coli O157:H7
L. monocytogenes
S. Typhimurium
S. aureus
4.9
4.3
5.0
5.2
597 Ghate et
al., 2013
A study conducted by Ghate et al. (2013) showed an antibacterial effect of 461
nm LED against E. coli O157:H7, L. monocytogenes, S. Typhimurium, and S.
aureus in trypticase soy broth (TSB) without the addition of photosensitizers
under chilling conditions. Murdoch et al. (2012) reported inactivation of E.
coli O157:H7 and L. monocytogenes by 5 log CFU/mL and S. Enteritidis by
3.5 log CFU/mL due to 405 nm LED alone at the intensity of 10 mW/cm2
within 8 h (until 288 J/cm2) in PBS. Another study showed that 405 nm LED
12
illumination (intensity, 85.6 mW/cm2) reduced populations of L.
monocytogenes and S. Enteritidis in PBS by 3.7 and 1.4 log CFU/mL for 36
min (total dose, 184.9 J/cm2) and 144 min (total dose, 739.6 J/cm
2),
respectively (Endarko et al., 2012). These discrepant results could be due to
different designs in experiments such as set temperature, intensity of LED,
total volume and depth of bacterial suspension, and distance between light
source and sample surface.
2.1.4 Proposed mechanism of photodynamic inactivation (PDI)
PDI is a non-thermal photophysical and photochemical reaction that
requires visible lights, particularly in the 400–430 nm wavelength range, and
photosensitizers such as porphyrin molecules in the presence of oxygen
(Luksienė and Zukauskas, 2009; Dai et al., 2012) (Figure 2–1). The proposed
photodynamic bacterial inactivation mechanism of blue LED is that once
photosensitizer molecules absorb photons of visible lights, the molecules are
excited to a singlet or triplet state from the ground state in the presence of
oxygen, resulting in induction of two pathways: Type 1 and Type 2. The type
1 pathway involves an electron transfer to yield superoxide anions (O2●―
),
which react further with oxygen to produce other ROS, such as hydrogen
peroxide (H2O2) and hydroxyl radicals (●OH). In the type 2 pathway, absorbed
energy is transferred directly to molecular oxygen by the ground state triplet
oxygen (3O2) to produce singlet oxygen molecules (
1O2). These ROS and
singlet oxygen generated from the reactions may attack cellular components,
such as DNA, lipids, and proteins, resulting in bacterial death (Luksienė and
Zukauskas, 2009; Dai et al., 2012).
13
Figure 2-1 Reactive oxygen species (ROS) generated during photodynamic
inactivation (PDI). PS, photosensitizer; 1PS
* and
3PS
*, excited photosensitizer
in singlet and triplet states, respectively, from ground state; 3O2, ground state
triplet oxygen (Mikš-Krajnik et al., 2015).
2.2 Bacterial defense responses to oxidative stress
To obtain energy, aerobic bacteria utilize molecular oxygen (O2) during
respiration or oxidation of nutrients, resulting in continuous production of
ROS (Cabiscol, Tamarit, and Ros, 2000). Aerobic and facultative anaerobic
bacteria are capable of catalyzing ROS through their defense mechanisms,
such as nonenzymatic antioxidants (e.g., glutathione) and enzymatic activities
[e.g., catalase and superoxide dismutases (SOD)] (Cabiscol, Tamarit, and Ros,
2000). However, the production of ROS is much enhanced in certain
environments, such as near-UV irradiation, LED illumination of visible
wavelengths and ionizing which can cause oxidative stress (Cabiscol, Tamarit,
and Ros, 2000; Nakamura et al., 2015). Oxygen toxicity occurs when the
oxidative stress level is beyond the capability of bacterial defense systems
(Farr and Kogoma, 1991).
14
It is known that Salmonella can enhance its resistance to oxidative
stress through the induction of regulators such as OxyR, SodA, SoxRS, and
RpoS (Farr and Kogoma, 1991). The oxyR gene constitutes an OxyR regulator
that is activated via the formation of disulfide bonds under hydrogen peroxide
stress (Farr and Kogoma, 1991). The oxidized OxyR also activates the
expression of katG (encoding catalase hydroperoxidase I), dps (encoding non-
specific DNA-binding proteins), gorA (encoding glutathione reductase), and
oxyS (encoding small regulatory RNA) involved in the bacterial resistance to
oxidative stress (Farr and Kogoma, 1991; Hamblin and Hasan, 2004; Janssen
et al., 2003).
Bacteria possess at least two superoxide dismutases (SODs), Mn–SOD
encoded by sodA and Fe–SOD encoded by sodB, which can convert
superoxide anion to hydrogen peroxide. The SoxRS regulator encoded by two
regulatory genes of soxR and soxS regulates SODs under high levels of
superoxide stress (Farr and Kogoma, 1991; Hamblin and Hasan, 2004; Janssen
et al., 2003). The oxidized SoxR activates several genes, including sodA, fpr
(encoding ferredoxin-NADP reductase), nfo (encoding DNA repair
endonuclease IV), and zwf (encoding glucose-6-phosphate dehydrogenase)
(Kim and Park, 2014).
The rpoS-encoded σS subunit of RNA polymerase is another regulator to
survive under oxidative stress as well as general stress conditions, including
low temperature and starvation (Michán et al., 1999; Battesti, Majdalani, and
Gottesman, 2011). It is also known that UV light and hydrogen peroxide (low
and high concentrations) are able to induce recA as a global regulator of SOS
response (Farr and Kogoma, 1999). recA expression is associated with DNA
15
topological change, DNA gyrase, and single-stranded DNA (Fark and
Kogoma, 1999; Oh and Kim, 1999). Therefore, the presence of different
regulators could stimulate the coordinated transcription of different sets of
genes and thereby augment bacterial resistance to oxidative stress. Although
the cellular response of Salmonella to general oxidative stress is well
understood as described above, little information is available on its defense
response to LED illumination under chilling conditions.
2.3 Foodborne pathogens and their outbreaks related to ready-
to-eat (RTE) foods
Markets for refrigerated fresh-cut fruit products have dramatically
increased in recent years due to consumer demand for fresh, convenient,
additive-free, and minimally processed fruits that are nutritious and safe
(James and Nagramsak, 2011). In addition, RTE meats such as cooked chicken
and ham are sold in many salad bars and large supermarkets and are mostly
stored at refrigerated temperatures to control bacterial growth. However, these
RTE foods can be easily exposed to unhygienic environmental conditions
during processing, such as washing, peeling and cutting, leading to cross-
contamination with pathogenic bacteria from raw foods or equipment.
Moreover, many organisms on RTE foods may grow due to temperature
fluctuations during storage at food establishments (Raybaudi-Massilia et al.,
2013; Sim et al., 2013). Since most of RTE foods require no further step to
eliminate bacteria, if contaminated, they can cause foodborne illness outbreaks.
Some outbreaks associated with fruits, vegetables, and chicken are
summarized in Table 2–3.
16
Table 2-3 Summary of foodborne outbreaks associated with fruits, vegetables, and chicken.
Food Product Pathogen No of case Country Year Reference
Apple Prepackaged L. monocytogenes 35 US 2016 CDCa
Cantaloupe Whole
Whole
Whole
S. Litchfield
L. monocytogenes
S. Newport & S. Typhimurium
51
146
261
US
US
US
2008
2011
2012
CDCa
CDC, 2012
CDCa
Mango Whole S. Braenderup 127 US 2012 CDC, 2012
Mixed berries Frozen S. sonnei 21 Sweden 1996 Tavoschi et al., 2015
Pineapple Fresh-cut S. Weltevreden Singapore 1996 Ooi, 1997
Papaya Fresh-cut
Fresh-cut
Whole
S. Weltevreden
S. Litchfield
S. Agona
26
106
Singapore
Australia
US
1996
2006
2011
Ooi, 1997
Gibbs et al., 2009
CDC, 2011
Watermelon Fresh-cut S. Newport 63 UK 2012 Byrne et al., 2014
Cucumbers Whole
Whole
Whole
S. Saintpaul
S. Newport
S. Poona
84
275
907
US
US
US
2013
2014
2016
CDCa
CDCa
CDCa
Mixed vegetables Prepackaged salad L. monocytogenes 19 US 2016 CDCa
Chicken RTE salad
Raw
Salad
Raw, frozen & stuffed
E. coli O157:H7
S. Heidelberg
E. coli O157:H7
S. Enteritidis
33
634
19
15
US
US
US
US
2013
2015
2015
2015
CDCa
CDCa
CDCa
CDCa
a Data obtained from CDC website on foodborne outbreaks (http://www.cdc.gov/foodsafety/outbreaks/multistate-outbreaks/outbreaks-list.html)
17
2.2.1 Bacillus cereus
Bacillus cereus is a Gram-positive, large rod-shaped, endospore forming,
facultative anaerobic bacterium (Granum, 2007). B. cereus is widely
distributed in soil and on foods of plant origins (especially rice and pasta), and
thus it is frequently found in foods (Granum, 2007). RTE foods contaminated
with B. cereus have been reported (Rosenquist et al., 2005). Two types of B.
cereus are a well-known causative agents for foodborne illness: the diarrheal
type caused by enterotoxins and the emetic (vomiting) type caused by toxins
produced during cell growth on foods (Granum, 2007). In the US, over 60,000
laboratory-confirmed cases have been caused by B. cereus, but only 0.4% has
required hospitalization and no deaths have occurred annually (Scallan et al.,
2011a). Although illness caused by B. cereus is not commonly reported due to
the mostly mild symptoms, a heat-stable toxin produced by B. cereus has the
potential for causing severe symptoms especially to immunocompromised
individuals who have consumed foods containing high amounts of toxins.
2.2.2 Escherichia coli O157:H7
Escherichia coli, member of the family Enterobacteriaceae, is a Gram-
negative, rod-shaped, non-spore forming, facultative anaerobic bacterium
found in the intestinal tract of warm-blooded animals and humans (Meng et al.,
2007). E. coli commonly detected on foods are non-pathogenic; however,
several E. coli strains are able to cause distinctive clinical illness such as
diarrhea. According to virulence properties, clinical symptoms, and
mechanism of pathogenicity, these pathogenic E. coli strains are categorized
into six pathotypes including entertopathogenic E. coli (EPEC),
18
enterotoxigenic E. coli (ETEC), enteroinvasive E. coli (EIEC),
enterohemorrhagic E .coli (EHEC), enteroaggregative E. coli (EAEC), and
diffusely adherent E. coli (DAEC) (Meng et al., 2007).
Of these pathotypes, EHEC is responsible for the majority of outbreaks
in the US and causes the most acute disease (Scallan et al., 2011b). E. coli
O157:H7 belonging to the EHEC pathotype is the predominant causative agent
of hemolytic uremic syndrome (HUS), resulting in a considerable health
burden (Brooks et al., 2005; Meng et al., 2007). In the US, RTE salads were
associated with an E. coli O157:H7 outbreak in 2013, resulting in 33
infections, 7 hospitalizations, and 2 HUS (CDC, 2013). E. coli O157:H7, as a
major public health concern, has been increasingly recognized since the first
outbreak that occurred in 1982 (Meng et al., 2007).
2.2.3 Listeria monocytogenes
Listeria monocytogenes is one of ten species in the genus Listeria, which
is a Gram-positive, short rod-shaped, non-spore forming, facultative anaerobic
bacterium (Jami et al., 2014; Swaminathan et al., 2007). Of the ten species,
two L. ivanovii and L. monocytogenes species are pathogenic to mammalians;
however, only L. monocytogenes is responsible for human cases of listeriosis.
L. monocytogenes has 13 serotypes, namely 1/2a, 1/2b, 1/2c, 3a, 3b, 3c, 4a,
4ab, 4b, 4c, 4d, 4e, and 7, which is useful when tracking L. monocytogenes
strains associated with outbreaks (FDA, 2011). Among these serotypes, 1/2a,
1/2b, and 4b serotypes are predominant causative agents for most human cases
of listeriosis (Liu, 2006). Listeriosis is a crucial public health concern due to
19
the high mortality rate of 20–30% in newborns, pregnant women, the elderly,
and immunocompromised people (Jami et al., 2014).
Several listeriosis outbreaks have occurred over the last two decades
globally. It is estimated that listeriosis results in 1,520 hospitalizations and 266
deaths annually in the US (Scallan et al., 2011a). Although many food
products have contributed to these outbreaks, refrigerated RTE food products,
including pre-packed fresh fruits and vegetables, soft cheeses, smoked fish,
and seafood salad, are high-risk vehicles for transmission of human listeriosis
because these products have a long shelf life and are generally consumed
without heating (Jami et al., 2014; Swaminathan et al., 2007). For example,
146 illness and 32 deaths were reported in the US due to a L. monocytogenes
outbreak associated with consumption of cantaloupes in 2011 (CDC, 2012). In
the EU, 2,161 human cases of listeriosis were reported in 2014, including that
several small outbreaks and one large outbreak that occurred in Denmark, with
the highest notification rate among the countries in the EU (EFSA, 2015).
Moreover, the presence of L. monocytogenes was detected in 2.8% out of
3,272 units of RTE fruits and vegetables, while 10.6% of 11,324 units of RTE
fish and fishery products were positive with L. monocytogenes (EFSA, 2015).
2.2.4 Salmonella species
The genus Salmonella is a Gram-negative, flagellated, rod-shaped, non-
spore forming, facultative anaerobic bacterium, which belongs to the family
Enterobacteriaceae (D’Aoust and Maurer, 2007). Salmonella is divided into
two species, namely S. bongory and S. enterica. The latter one is subdivided
into six subspecies: arizonae, enterica, diarizonae, houtenae, and indica
20
(D’Aoust and Maurer, 2007). Salmonella enterica subspecies enterica has
over 2,500 serotypes associated with diseases in humans and animals,
including typhoid (invasive) of S. Typhi and S. Paratyphi, and non-typhoid
(non-invasive) of S. Enteritidis and S. Typhimurium as the most well-known
serotypes (Issenhuth-Jeanjean et al., 2014; Park et al., 2009).
Non-typhoidal Salmonella is one of the major causative agents for
salmonellosis worldwide, resulting in 10 million cases of infection and
100,000 deaths annually (Yang et al., 2014; WHO, 2013). In Singapore,
Salmonella has been identified as the top contributory agent, accounting for
more than half of reported foodborne illness cases during 2001–2010
(Kondakci and Yuk, 2012). It is estimated that the annual health-related cost
of non-typhoidal salmonellosis is $4.4 billion in the US (Scharff, 2012). The
CDC has reported that among the 147 confirmed outbreaks caused by
Salmonella, S. Enteritidis is identified as the most common serotype, followed
by S. Typhimurium, S. Heidelberg, S. Newport, and other serotypes in 2013
(CDC, 2015). Chicken, pork, seed sprouts, and beef contaminated with
Salmonella are listed in the top 4 pathogen-food category pairs contributing to
infections in the US (CDC, 2015). Fruits are also included in the top five
pathogenic-food category pairs associated with deaths due to salmonellosis
(CDC, 2015). Several outbreaks of salmonellosis have been associated with
consumption of fresh fruits, including cantaloupe and mango. For instance, in
2012, cantaloupes were linked to an outbreak caused by S. Typhimurium and S.
Newport, resulting in 261 infections, 94 hospitalizations, and 3 deaths in the
US (CDC, 2012). Thus, these fresh-cut fruits could be vehicles of human
salmonellosis.
21
2.2.5 Shigella species
The genus Shigella is a Gram-negative, rod-shaped, non-motile, non-
spore forming, and facultative anaerobic bacterium (Lampel and Maurelli,
2007). As Shigella spp. also belong to the family Enterobacteriaceae, they are
genetically similar to E. coli and are closely associated with Salmonella spp.
Shigellosis is an acute enteric infection caused by Shigella and it is estimated
that the number of around 80–165 million cases of shigellosis and 600,000
deaths occurs annually throughout the world (Browne, 2015). Transmission
occurs by the fecal-oral route through person-to-person contact or
consumption of water or food fecally contaminated with infectious levels (as
few as ten cells) (Nygren et al., 2015).
Based on the O antigens, there are four species of Shigella, including S.
boydii, S. dysenteriae, S. flexneri, and S. sonnei. S. dysenteriae type 1, capable
of producing shiga-toxin, occurs often in Sub-Saharan Africa and South Asia
and has the potential for epidemic dysentery (Lampel and Maurelli, 2007;
Nygren et al., 2015). S. sonnei is a predominant causative agent in
industrialized countries, accounting for approximately 80% of shigellosis
infections in the US (Nygren et al., 2015). S. sonnei is commonly transmitted
via interpersonal contact, especially to young children and their caregivers
(Browne, 2015). S. flexneri is the dominant species in developing countries
and rare infection caused by S. boydii accounts for 2–6% of shigellosis
infection globally (Browne, 2015; Nygren et al., 2015).
Shigellosis is not associated with any specific food, although shigellosis
outbreaks have been associated with raw and cooked foods such as shellfish
22
and chicken salad, and potato salad (Lampel and Maurelli, 2007). Shigellosis
outbreaks have been reported in various locations, including homes,
restaurants, picnics, airlines, social gatherings, and cruise ships (Lampel and
Maurelli, 2007; Nygren et al., 2015). The source of contamination often
originates from infected food handlers (Nygren et al., 2015). Although
shigellosis outbreaks have recently decreased, it is still a major concern for
public health.
2.2.6 Staphylococcus aureus
The genus Staphylococcus, called staphylococci, is a Gram-positive,
spherical-shaped, facultative anaerobic bacterium (Seo and Bohach, 2007).
According to the European Food Safety Authority (EFSA), 393 cases of
staphylococcal intoxification were reported in 2014 (EFSA, 2015).
Staphylococcus is frequently found in unpasteurized milk and raw milk cheese
and can grow in salty foods such as ham due to its salt-tolerance (CDC, 2010).
Food poisoning caused by Staphylococcus, namely staphylococcal food
poisoning (SFP) results from consumption of foods contaminated with one or
more pre-formed staphylococcal enterotoxins (SEs) (Seo and Bohach, 2007).
Although more than one species of Staphylococcus is able to produce SEs, the
incidence of SEs produced by S. aureus is relatively high than other species
(Seo and Bohach, 2007). Outbreaks caused by SFP have been linked to sliced
meat, pastries, puddings, sandwiches, salad vegetables, and seed sprouts (CDC,
2010; Ramos et al., 2013). Contamination of foods with S. aureus usually
occurs during food processing (Castro et al., 2015). Since S. aureus is able to
colonize the skin and the nares of humans, a food handler carrying S. aureus is
23
partly responsible for these outbreaks through direct contact of foods (Castro
et al., 2015; CDC, 2010). Thus, the presence of S. aureus in foods has the
potential for producing SEs, which can cause foodborne intoxification in
amounts as low as 0.1–1 μg, corresponding to >105 viable cells/g (Seo and
Bohach, 2007). These SEs are not completely destroyed by heating even at
100 °C for 30 min and thus cooking may not be sufficient to improve food
safety (Seo and Bohach, 2007).
24
Chapter 3
Inactivation by 405±5 nm light emitting diode of Escherichia
coli O157:H7, Salmonella Typhimurium, and Shigella sonnei
under refrigeration may be due to the loss of membrane
integrity
3.1 Introduction
Consumption of foods contaminated with infectious levels of bacterial
pathogens cause serious illness in humans. According to the data estimated by
CDC, a total of 48 million cases of infection, 127,839 hospitalizations, and
3,037 deaths were caused by major pathogens and unspecified agents
transmitted via food every year in the US. The number of infection caused by
three major Gram-negative pathogens was as follows: 1 million by
Salmonella, 131,254 by Shigella, 112,752 by non-O157 STEC, and 63,153 by
O157 STEC (Scallan et al., 2011a; 2011b). It was also estimated that annual
health-related costs due to foodborne disease in the US range from $51 billion
to $77.7 billion (Scharff, 2012). In Singapore, the Ministry of Health (MOH)
estimates that about 0.1 million people per annum seek medical care due to
acute diarrheal illnesses (MOH, 2010). Among causative agents, non-
typhoidal Salmonella spp. have been identified as major pathogenic bacteria
25
that cause foodborne illness, followed by Campylobacter, Hepatitis A and E
viruses, and Shigella spp. during the last decade (Kondakci and Yuk, 2012).
To inhibit or inactivate these pathogenic bacteria in food products
during storage, food processors and handlers have manipulated intrinsic and
extrinsic factors such as temperature, pH, water activity, and antimicrobial
agents (Lim et al., 2013; Yuk and Geveke, 2011). Among these, the most
widely used preservation technique is cold storage; however, some pathogenic
bacteria such as E. coli O157:H7 and Salmonella spp. are able to survive at
refrigeration temperature during transportation and storage. For this reason,
refrigeration should not be used as the sole preservation method. Therefore, to
ensure food safety and to extend the shelf life of perishable foods such as RTE
foods, an additional hurdle with refrigeration should be developed and
employed for better food preservation without loss of food quality (Lim et al.,
2013; Ghate et al., 2013).
One emerging food preservation technology is the use of LED of visible
wavelengths, which has been recently receiving increased attention due to its
antibacterial effect. Recent studies with 405±5 nm LED have shown its
antibacterial effect on many bacterial species (see Chapter 2). However, little
information is available on the effectiveness of 405±5 nm LED on the
inactivation of various foodborne pathogens and its antibacterial mechanism
by endogenous photosensitizers. The objective of this study was to investigate
the antibacterial effect of 405±5 nm LED on E. coli O157:H7, S.
Typhimurium and S. sonnei. Its antibacterial mechanism was also elucidated
by determining sensitivity to bile salts and NaCl as well as by examining loss
26
of cell membrane permeability and DNA degradation. Gram-negative
pathogens were used in this study since they have similar membrane structure.
3.2 Materials and methods
3.2.1 Bacterial strains and culture conditions
E. coli O157:H7 (EDL 933) used in this study was provided by Dr.
Henry Mok from the Department of Biological Sciences at the National
University of Singapore. S. Typhimurium (ATCC 14028) and S. sonnei
(ATCC 29031) were obtained from the American Type Culture Collection
(ATCC; Manassas, VA, USA) and stored at –70 °C. Frozen stock cultures
were activated in 10 mL of sterile tryptone soya broth (TBS; Oxoid,
Basingstoke, UK) for 18–24 h at 37 °C. After two consecutive transfers for
18–24 h at 37 °C, a working culture in the stationary phase was used for
experiments.
3.2.2 LED source
A high intensity 405±5 nm LED device was purchased from Shenzhen
Getian Opto-Electronics Co., Ltd. (Shenzhen, Guangdong, China). The lamp
had a square 8 × 8 mm shape and the irradiance (W/cm2) of light emitted from
the 405±5 nm LED unit was measured at the surface of bacterial suspensions
using a 405±5 nm radiometer (UHC405, UVATA Ltd., Hong Kong). The
irradiance of the 405±5 nm LED was 18±2 mW/cm2. The dosage received by
each bacterial suspension was calculated using the following equation
(Maclean et al., 2009):
27
E = Pt (3.1)
where E = dose (energy density) in J/cm2, P = Irradiance (power density) in
W/cm2, and t = time in sec.
3.2.3 LED illumination system
The 405±5 nm LED was attached to a cooling fan and a heat sink to
dissipate the heat generated from the LED. A resistance of 5 Ω was used in the
circuit in order to protect the LEDs from excessive current. Each LED system
was placed in an acrylonitrile butadiene styrene (ABS) housing for the
illumination to prevent the entry of external light. The distance between the
LED source and the bacterial suspension in a sterile glass Petri dish (60 mm
diameter) was adjusted to 4.5 cm to illuminate the upper surface of the Petri
dish. A Fluke 5.4 thermocouple (Everett, WA, USA) was used to monitor the
temperature of the bacterial suspension during LED illumination.
3.2.4 Bacterial inactivation by 405±5 nm LED illumination
One mL of the working culture was centrifuged at 6,000 × g for 10 min
at 4 °C. Cells in the obtained pellet were washed with 1 mL of phosphate-
buffered saline (PBS; Vivantis Technologies Sdn. Bhd., Malaysia) and
centrifuged again. Cells in the resultant pellet were resuspended in 1 mL of
PBS and diluted to a final concentration of approximately 108 CFU/mL in
PBS. Ten milliliters of the bacterial suspension in a glass Petri dish was placed
under the LED system and illuminated at 4±1 °C for 7.5 h (a total dose of 486
J/cm2) in a temperature controlled incubator (MIR-154, Panasonic Healthcare
28
Co., Ltd., Osaka, Japan). The illumination time was arbitrarily chosen based
on a previous study (Ghate et al., 2013). Non-illuminated bacterial
suspensions were also set up in the dark as a control in the incubator. An
aliquot of 0.5 mL was withdrawn after every 1.5 h (dose of 97.2 J/cm2). LED-
illuminated and non-illuminated cells were serially diluted with PBS, if
necessary, and plated on tryptone soya agar (TSA; Oxoid) by spiral plating
(WASP 2, Don Whitley Scientific Ltd., West Yorkshire, UK), followed by
incubation at 37 °C for 24–48 h. The number of viable cells was enumerated
with an automated colony counting system (Acolyte, Synbiosis, Frederick,
MD, USA) and expressed as log CFU/mL.
3.2.5 Weibull model for bacterial inactivation kinetics
The modified Weibull model was used to determine bacterial
inactivation and to compare the sensitivity of test strains to LED illumination
since it describes several types of inactivation such as concave, convex, and
linear shapes due to its flexibility (Ferrario et al., 2013; Mare et al., 2009). The
parameters of Weibull distribution consist of α and β (Bialka et al, 2008;
Unluturk et al., 2010; van Boekel, 2002):
log10
=
α β
(3.2)
where t is the exposure time to LED in hours, N is the microbial population
after LED exposure (CFU/mL), N0 is initial inoculation level (CFU/mL), α and
β are the scale and shape parameters of the Weilbull model. The reliable life
(tR) was calculated using the following equation (Bialka et al., 2008):
29
tR = α
β (3.3)
Values were analyzed with Origin 9.0 software (OriginLab Co.,
Northampton, MA, USA). The reliable life (tR) indicates the time (h) needed
for 90% reduction in population based on the scale (α) and shape (β)
parameters of Weibull distribution, which is the same concept with the D-
value for the first-order inactivation kinetics (Bialka et al., 2008).
3.2.6 Bacterial sensitivity to bile salts and NaCl
To investigate a loss of cytoplasmic or outer membrane functionality of
cells caused by LED illumination, the sensitivities of illuminated and non-
illuminated cells to bile salts and NaCl were determined. An increase in
sensitivity to bile salts and NaCl implies losses of outer membrane function as
a permeability barrier to hydrophobic compounds and to osmotic functionality
of cytoplasmic membrane, respectively (Ait-Ouazzou et al., 2012; Jasson et
al., 2007; Somolinos et al., 2008).
Sensitivity was measured by comparing the difference in the number of
colonies grown on TSA (non-selective agar) and TSA supplemented with
NaCl (Goodrich Chemical Enterprise, Singapore) or ox-bile (Sigma-Aldrich,
St. Louis, MO, USA) (selective agar). LED illuminated or non-illuminated
cells were plated onto TSA with 2% (w/v) NaCl for S. sonnei or 3% (w/v)
NaCl for E. coli O157:H7 and S. Typhimurium and onto TSA containing 1%
(w/v) bile salts. After incubation at 37 °C for 24–48 h, the number of colonies
30
was enumerated and the sensitivity was calculated with the following equation
(Ghate et al., 2013):
(3.4)
The concentrations of NaCl and bile salts used for each bacterial strain
were determined to be the maximum non-inhibitory concentrations for
stationary phase cells. The maximum non-inhibitory concentration is defined
as the maximum concentration of NaCl or bile salts that does not inhibit the
growth of healthy and intact cells. To determine these concentrations,
stationary phase cells grown at 37 °C for 24 h were plated onto both TSA and
TSA containing various concentrations of NaCl (1–4%) or bile salts (1–3%)
and the sensitivity was compared as described above.
3.2.7 Determination of cell membrane permeability
Cell membrane permeability after LED illumination was observed using
the LIVE/DEAD® BacLight Viability Kit L-7007 (Molecular Probes
™,
Eugene, OR, USA) according to the manufacturer’s instructions. The kit
consists of two dyes, SYTO®9 (green fluorescence) and propidium iodide (PI)
(red fluorescence). Briefly, 3 μL of the dye mixture was added into 1 mL of
non-illuminated control or LED-illuminated bacterial suspension exposed to
486 J/cm2. The mixture was incubated in the dark for 15 min at room
temperature. Five microliters of the suspension were placed on a slide and
covered with a square coverslip. Slides were immediately examined under oil
immersion in Olympus BX51 epifluorescent microscope (Melville, NY, USA)
31
equipped with an Olympus DP71 camera, an U-RFL-T mercury lamp and a set
of fluorochrome filters: SYTO®9 (WB, 450–480 nm) and PI (WG, 510–550
nm).
3.2.8 Comet assay
The alkaline version of the comet assay was performed with the
OxiSelect™ Comet Assay Kit (Cell Biolabs, San Diego, CA, USA) according
to the manufacturer’s instructions with a minor modification. A10-μL aliquot
of non-illuminated or LED-illuminated cell suspension for 7.5 h was mixed
with 90 μL of Comet Agarose, 5 μg/mL RNase A solution (Sigma-Aldrich),
0.25% N-lauroylsarcosine sodium salt solution (Sigma-Aldrich) and 0.5
mg/mL lysozyme (Sigma-Aldrich). The mixture (75 μL) was placed on Comet
slides and refrigerated for 15 min at 4 °C in the dark to solidify the agarose.
Slides were incubated at 37 °C for 20 min, followed by immersing in 1 × lysis
buffer (pH 10) for 1 h at 4 °C in the dark. Slides were then immersed in the
alkaline solution for 30 min at 4 °C in the dark and electrophoresed in alkaline
electrophoresis buffer for 20 min at 12 V and 100 mA. After single cell gel
electrophoresis, the slides were rinsed three times with distilled water for 2
min, dehydrated with cold 70% (v/v) ethanol for 10 min and air-dried. The
slides were stained by adding 100 μL of Vista Green DNA Dye per well and
visualized by an Olympus BX51 epifluorescent microscope equipped with an
Olympus DP71 camera, an U-RFL-T mercury lamp and a fluorochrome filter:
Vista Green DNA Dye (WB, 450–480 nm).
32
3.2.9 DNA ladder analysis
Genomic DNA from non-illuminated and LED-illuminated cells for 7.5
h was extracted and purified by GenElute™
Bacterial Genomic DNA Kit
(Sigma-Aldrich) according to manufacturer’s instructions. The purified DNA
was dissolved in 100 μL of Tris-EDTA (TE) buffer and treated with RNase.
Tris-acetate-EDTA (TAE; 40 mM Tris-acetate, 1 mM EDTA, pH 8.0) was
used as a buffer for electrophoresis. Two microliters of purified DNA extract
were solubilized in Tri-Color 6x DNA Loading Dye (1st BASE, Singapore)
and electrophoresed in 1% (w/v) agarose gel containing FloroSafe DNA Stain
(1st BASE, Singapore) at 100 V for the analysis of DNA fragmentation. The
gel was visualized with G:Box EF2 Fluorescence Imaging System (Syngene,
Frederick, MD, USA).
3.2.10 Statistical analysis
All experiments were performed in independent triplicate trials, with
duplicate sampling or plates (n=6). All data were expressed by mean ±
standard deviation and were analyzed using analysis of variance (ANOVA)
and least significant difference (LSD) to compare any significant difference
(P ≤ 0.05) using an IBM SPSS statistical software (version 20; SPSS Inc.,
IBM Co., Armonk, NY, USA).
3.3 Results
3.3.1 Changes in temperature during 405±5 nm LED illumination
To determine heat transfer from the LED to the cell suspension, the
temperature of the suspension was monitored for 300 min at 1-min intervals
33
during 405±5 nm LED illumination (data not shown). It was observed that the
temperature of the suspension increased by 6–7 °C during LED illumination
and remained constant until the end of measurement, when the set temperature
of incubator was 4 °C. Based on this observation, non-illuminated controls
were held at a temperature of 10 °C to compensate for the effect of the
elevated temperature during the illumination.
3.3.2 Antibacterial effect of 405±5 nm LED
In order to evaluate the antibacterial effect of 405±5 nm LED, E. coli
O157:H7, S. Typhimurium and S. sonnei were treated with 405±5 nm LED for
7.5 h up to a final dose of 486 J/cm2 at intensity of 18 mW/cm
2 (Figure 3–1).
Regardless of the bacterial strain, no significant (P > 0.05) change in the
number of non-illuminated cells was observed after 7.5 h at a temperature of
10 °C. Compared to the control cells, populations of E. coli O157:H7, S.
Typhimurium and S. sonnei were significantly (P ≤ 0.05) reduced by 1.0, 2.0,
and 0.8 log CFU/mL, respectively, at the end of 405±5 nm LED illumination.
The Weibull survival model was used to compare sensitivity of cells to
LED illumination with the reliable life (tR). The scale (α) parameter indicates
the mean of the distribution describing inactivation time (h) of the cell
population, whereas the parameter β determines the shape of Weibull
distribution and represents an effect on the predicted inactivation rate (Couvert
et al., 2005; Ferrario et al., 2013). A value of β > 1 indicates an increase in
accumulated damaging and killing rates of 405±5 nm LED with an increase
light dose (Couvert et al., 2005). On the other hand, when β < 1, higher rates
of inactivation occurs at lower light dose (McKenzie et al., 2013).
34
Figure 3-1 Inactivation of E. coli O157:H7 (a), S. Typhimurium (b) and S.
sonnei (c) during the illumination with 405±5 nm LED at 4 °C. Asterisk (*)
indicates significant (P ≤ 0.05) difference between LED-illuminated and non-
illuminated cell counts.
Among the three bacterial pathogens, S. Typhimurium had the lowest α value
upon exposure to LED, while values for E. coli O157:H7 and S. sonnei were
not significantly (P > 0.05) different (Table 3–1). The tR-values predicted by
the Weibull model were significantly (P ≤ 0.05) different for each pathogen
studied, achieving 10.36, 7.64 and 4.78 h for S. sonnei, E. coli O157:H7 and S.
Typhimurium respectively. These results indicate that S. Typhimurium was
the most sensitive pathogen to 405±5 nm LED illumination followed by E.
coli O157:H7 and S. sonnei. Results correspond with the highest inactivation
observed for S. Typhimurium in Figure 3–1.
(0) (97) (194) (292) (389) (486) Dose (J/cm2)
Time (h)
35
Table 3-1 Weibull model parameters1 for the inactivation of E. coli O157:H7, S. Typhimurium, and S. sonnei by 405±5 nm LED illumination.
Bacterial strain
α (h) β
tR (h) R2
95% confidence intervals
Average
95% confidence intervals
Average Lower Upper Lower Upper
E. coli O157:H7 4.58±0.14b 4.36 4.98 1.68±0.34
a 0.83 2.52 7.64±0.48
b 0.98±0.07
S. Typhimurium 2.63±0.302a 1.89 3.36 1.39±0.12
a 1.09 1.70 4.78±0.32
a 1.00±0.01
S. sonnei 4.87±1.11b 2.11 7.62 1.11±0.19
a 0.63 1.59 10.36±1.10
c 0.99±0.03
1All measurements were done in triplicate with replication, and all values are means ± standard deviation. Different letters within the same
column are significantly (P ≤ 0.05) different.
36
3.3.3 Bacterial sensitivity to bile salts and NaCl by 405±5 nm LED
illumination
Changes in the bacterial sensitivity to bile salts and NaCl were used to
determine if cell membranes were damaged by LED illumination. The
percentage of cells sensitive to bile salts increased to approximately 60% for
E. coli 0157:H7 treated for 6 h, while the same degree of sensitivity for S.
Typhimurium and S. sonnei was achieved after 3 h illumination (Figure 3–2).
For NaCl, the maximum percentages were 87% for E. coli 0157:H7, 92% for
S. Typhimurium, and 99% for S. sonnei after LED illumination for 4.5–6 h.
Although there was no significant (P > 0.05) increase in sensitivity with
increased exposure time (Figure 3–3), LED-illuminated cells were
significantly (P ≤ 0.05) more sensitive to bile salts and NaCl than were non-
illuminated control cells regardless of the bacterial strain. These data
demonstrate that LED illumination resulted in malfunction of outer and
cytoplasmic membranes of cells.
3.3.4 Loss of cell membrane permeability by 405±5 nm LED illumination
LIVE/DEAD® BacLight
TM is dual nucleic acid staining method used to
evaluate cellular viability based on the changes in their membrane
permeability. Images are shown in Figure 3–4. Green fluorochrome SYTO®9
(480/500 nm) of low molecular weight (~10 Da) is able to penetrate both
intact and damaged cell membranes, whereas red fluorochrome PI (490/635
nm) of higher molecular weight (668 Da) can penetrate only damaged
membranes, displacing SYTO®9 with red fluorescence (Bleichert et al., 2014;
37
Figure 3-2 Changes in the sensitivity of E. coli O157:H7 (a), S. Typhimurium
(b) and S. sonnei (c) to 1% bile salts during 405±5 nm LED illumination.
Different letters (A-B or a-b) within the same bar indicate that the mean values
are significantly (P ≤ 0.05) different from each other. Asterisk (*) indicates
significant (P ≤ 0.05) difference between LED-illuminated and non-
illuminated cell counts.
*
(0) (97) (194) (292) (389) (486)
Time (h)
Dose (J/cm2)
*
* * *
* * *
* *
* * * *
38
Figure 3-3 Changes in sensitivity of E. coli O157:H7 (a), S. Typhimurium (b)
and S. sonnei (c) to NaCl (2% for S. sonnei, and 3% for E. coli O157:H7 and
S. Typhimurium) during 405±5 nm LED illumination.
* *
(0) (97) (194) (292) (389) (486)
Time (h)
Dose (J/cm2)
* *
*
* *
*
*
*
* * * *
*
39
Figure 3-4 The microscopic images of E. coli O157:H7 (a), S. Typhimurium
(b) and S. sonnei (c) cells stained with LIVE/DEAD® BacLight
TM before and
after LED illumination at the dose of 486 J/cm2.
Joux and Lebaron, 2000; Lecombe et al., 2013). In this study, non-illuminated
cells showed green fluorescence of SYTO®9 stain, indicating that they
maintained intact cell membranes over the exposure time (7.5 h) at 10 °C. On
the other hand, some LED-illuminated cells revealed red fluorescence,
indicating that these cells underwent a loss in the physical membrane integrity
due to exposure to 405±5 nm LED treatment.
40
3.3.5 Effect of 405±5 nm LED illumination on DNA damage
Comet assay was performed to determine if ROS produced by 405±5
nm LED illumination causes DNA degradation by rupturing the
phosphodiester bonds in its primary structure of base sequence. As shown in
Figure 3–5, regardless of the bacterial strain, no tails (comets) were observed
in LED-illuminated and non-illuminated cells, indicating that LED treatment
did not cause DNA fragmentation. All photomicrographs of single cell
electrophoresis showed clear zones of the nucleoid without the presence of
DNA tailing. In parallel, DNA ladder analysis was performed in order to
confirm the results obtained with the comet assay. There was only one band
present in all profiles (1–9) of agarose gel electropherograms, indicating no
differences in the total genomic DNA among healthy, non-illuminated and
LED-illuminated cells (Figure 3–6). No shorter DNA fragments were
observed in the gel in the DNA ladder profile, and migration of bands was
Figure 3-5 Comet assay of DNA extracted from healthy, non-illuminated and
LED-illuminated E. coli O157:H7 (a), S. Typhimurium (b) and S. sonnei (c) at
the dose of 486 J/cm2.
41
similar for all samples. These results indicate that 405±5 nm LED illumination
did not induce DNA fragmentation.
Figure 3-6 Agarose gel electrophoresis profiles of DNA extracted from
healthy, non-illuminated and LED-illuminated cells at the dose of 486 J/cm2.
Lane: 1, healthy S. Typhimurium; 2, S. Typhimurium without LED
illumination for 7.5 h; 3, LED-illuminated S. Typhimurium for 7.5 h; 4,
healthy E. coli O157:H7; 5, E. coli O157:H7 without LED illumination for 7.5
h; 6, LED-illuminated E. coli O157:H7 for 7.5 h; 7, healthy S. sonnei; 8, S.
sonnei without LED illumination for 7.5 h; 9, LED-illuminated S. sonnei for
7.5 h.
3.4 Discussion
The present study investigated cell membrane and DNA damage to
provide insights into the antibacterial mechanism of 405±5 nm LED and
evaluated the effectiveness of 405±5 nm LED in inactivating major Gram-
negative foodborne pathogens to determine if the LED technology has
potential for food preservation applications.
The antibacterial efficacy of 405±5 nm LED was evaluated at a set
temperature of 4 °C, which simulated refrigeration conditions. A previous
study has shown that the antibacterial effect of 460 nm LED was enhanced at
lower temperature, having two to three times more observed lethality at 10 °C
than 15 °C, while no antibacterial activity at 20 °C (Ghate et al., 2013).
Approximately 0.5–1 mL of bacterial suspension was evaporated due to the
42
temperature increase during the LED illumination for 7.5 h. In addition, the
depth of bacterial suspensions was reduced by 0.2 cm by taking samples (0.5
mL/1.5 h). However, these changes were negligible compared to the total
sample volume (10 mL) and depth (1.2 cm), and thus not thought to influence
inactivation of test pathogens.
Results show that 405±5 nm LED illumination inactivated 0.8–2 log
CFU/mL of E. coli O157:H7, S. Typhimurium, and S. sonnei during storage at
a set temperature of 4 °C for 7.5 h (a total dose of 486 J/cm2). A comparison
of inactivation rates revealed that S. Typhimurium was the most susceptible to
LED illumination, followed by E. coli O157:H7 and S. sonnei. A possible
explanation for the different sensitivities to LED treatment could be due to
variations in the amounts and the types of endogenous porphyrin compounds
present in bacterial cells, which play a major role in photodynamic
inactivation (PDI) (Kumar et al., 2015). The study conducted by Hamblin et
al. (2005) showed that Propionibacterium acnes and Helicobacter pylori
produce and accumulate porphyrins inside the cells, which might make them
more susceptible to visible light. Nitzan et al. (2004) suggested that different
types of porphyrin compounds might contribute to differences in bacterial
inactivation rates when cells are exposed to 405 nm blue light. This might be
also due to the differences in repair mechanisms of cells under the oxidative
stress (Demidova and Hamblin, 2004).
Contrary to observation in the present study, Endarko et al. (2012)
reported that 405 nm LED inactivated E. coli O157:H7 by 4.5 log and S.
sonnei by 3.9 log at a total dose of 554.7 J/cm2 (for 1.8 h at the irradiance of
85.6 mW/cm2). Another study carried by Murdoch et al. (2012) with 405 nm
43
LED at the irradiance of 10 mW/cm2 demonstrated that 5-log reductions of S.
sonnei and E. coli O157:H7 were achieved at 180 and 288 J/cm2 (5 and 8 h),
respectively. These differences in the effectiveness of 405 nm LED
illumination might be due to the different experimental designs such as the
distance between LED and bacterial suspension, total volume and depth of
bacterial suspension, initial population and set temperature (Endarko et al.,
2012; Murdoch et al., 2010). In particular, previous studies used a magnetic
stirring plate to agitate bacterial suspension during illumination, probably
maximizing its antibacterial effect (Endarko et al., 2012; Murdoch et al.,
2010). To simulate a food matrix, bacterial suspensions were not agitated
during illumination in the present study. Moreover, it seems that the
antibacterial efficacy of 405 nm LED might be strain-dependent. For example,
a 2-log reduction of S. Typhimurium was achieved at a total dose of 486 J/cm2
in this study, whereas in the study conducted by Endarko et al. (2012) the
population of S. Enteritidis was reduced by 1.4 log at a total dose of 739 J/cm2,
while the number of S. Enteritidis decreased by 3–5 log at 288 J/cm2
in a study
carried out by Murdoch et al. (2010).
Bacterial sensitivity to bile salts and NaCl was studied to determine if
LED illumination causes damage to outer and cytoplasmic cell membranes.
Results showed that 405±5 nm LED illumination significantly enhanced the
cell sensitivity to bile salts and NaCl compared to non-illuminated control
cells. It is known that Gram-negative bacteria have a lipopolysaccharide (LPS)
in the outer membrane, which provides a permeability barrier to hydrophobic
molecules such as bile salts in the external environment. Moreover, the
cytoplasmic membrane is responsible for the regulation of osmotic pressure
44
(Ait-Ouazzou et al., 2012; Jasson et al., 2007; Somolinos et al., 2008). Thus,
these results indicate that both outer and cytoplasmic membranes of bacteria
might become damaged and suffer loss of their functionality during 405±5 nm
LED illumination. Similarly, Ait-Ouazzou et al. (2012) reported that the
combined treatment of heat and acid makes E. coli cells more sensitive to bile
salts and NaCl. Outer and cytoplasmic membranes were sublethally injured by
the treatment.
A loss of cell membrane integrity due to LED illumination was
observed by LIVE/DEAD® BacLight
TM assay as evidenced by some of the
LED-illuminated cells showing red fluorescence. Significant damage of cell
membranes may result in loss of physiological functions such as permeability
barrier, membrane potential, and efflux pump activity. However, this study
directly indicates that that LED illumination altered the permeability of cell
membranes, since PI (red fluorescence) with high molecular weight can only
enter into cells with loss of membrane function as a permeability barrier
(Bleichert et al., 2014; Joux and Lebaron, 2000; Lacombe et al., 2013). A
similar observation on cytoplasmic membrane damage was observed in E. coli
cells exposed to the oxidizing effects of copper alloy, UV light, and TiO2 due
to lipid peroxidation (Hong et al., 2012). Thus, free radicals generated by
405±5 nm LED illumination could physically or chemically damage the
components of the bacterial membrane (Lukšiene, 2003).
Genomic DNA is also one of the major targets of ROS generated from
oxidization, UV light and ionizing radiation. The ROS can attack both the
sugar moieties and the base, causing DNA breakage, formation of oxidized
base derivatives such as 8-OHdG (8-hydroxy-deoxyguanosine) and cross-
45
linking of DNA–protein (Nitzan and Ashkenazi, 2001; Prasad et al., 2013).
The superoxide anion (O2-) can bind to DNA and hydrogen peroxide (H2O2)
directly oxidizes free ferrous iron, forming the hydroxyl radical (OH∙) as a
strong oxidant that attacks adjacent DNA (Henle et al., 1999; Keyer and
Imlay, 1996; Park and Imlay, 2003). The damaged DNA may also result in
DNA breakage by oxidative destruction of deoxyribose residues or replication
forks (Kumari et al., 2008). Thus, it was hypothesized that bacterial DNA can
fragment by the attack of ROS generated during LED illumination. To test this
hypothesis, the comet assay and DNA ladder analysis were carried out. The
comet assay is a simple and fast technique for assessment of DNA damage in
all cell types and it is used to detect the breakage of single- or double-stranded
DNA. Single cell electrophoresis results in a microscopic image, showing a
clear head composed of intact DNA within the nucleoid and a tail consisting
of broken or damaged DNA (comet). The comet assay is based on
quantification of DNA strand fragmentation migrating out of the nucleoid of
individual cells during electrophoresis under alkaline conditions (Liao et al.,
2009).
In the present study, no DNA tailing and no difference in total genomic
DNAs were observed, indicating that bacterial DNA was not fragmented by
ROS. Probably, the concentration of ROS generated during LED illumination
was not high enough to break down bacterial DNA. Thus, the low
concentration of ROS might only oxidize DNA and other intracellular
components such as proteins and lipids (Imlay, 2008). Sies and Menck (1992)
reported that 8-OHdG, an oxidized base derivative, was formed as a product of
deoxyguanosine oxidation by methylene blue plus light illumination. This
46
might be due to the fact that guanine residues have been reported to be most
easily oxidized (Hamblin and Hasan, 2004). Similar to the present results,
Nitzan and Ashkenazi (2001) reported that no DNA breakage in E. coli and
Acinetobacter baumannii was observed by visible light of various wavelengths
(400–450, 480–550, and 600–700 nm) with the addition of a photosensitizer,
whereas cytoplasmic membrane damage was observed.
Illumination with 405±5 nm LED gave only 1 – 2 log reductions in an
aqueous system in this study, but effectiveness may be less if pathogens on
foods. In addition, long-term exposure of bacteria to LED was required for
significant changes in populations, and thus this technology may be applicable
to the storage conditions during displaying foods. However, it would be still
worthy to evaluate the bacteriostatic effect of the LED for food industry
applications because LED technology can easily be applied to the food
showcase by replacing the fluorescent lights and saving energy. For its
application for food preservation, further research on the effect of LED on
physiochemical and sensory quality of foods is also necessary.
3.5 Conclusions
This study investigated the antibacterial effect and mechanism of 405±5
nm LED on E. coli O157:H7, S. Typhimurium and S. sonnei. Results show
that 405±5 nm LED illumination inactivated 0.8–2.0 log CFU/mL of the
pathogens under refrigerated conditions. Among test strains, S. Typhimurium
was the most sensitive to 405±5 nm LED illumination. In addition, LED
illumination increased cell sensitivity to bile salts and NaCl. Loss of
membrane integrity upon exposure to LED illumination was confirmed,
47
whereas no DNA fragmentation was observed. Thus, inactivation of three test
pathogens by 405±5 nm LED illumination might be partly due to physical
damage of membranes. This study also indicates that 405±5 nm LED
illumination under refrigerated conditions may be a useful technology to
control foodborne pathogens in foods during storage.
48
Chapter 4
Antibacterial effect and mechanism of high intensity 405±5 nm
LED on Bacillus cereus, Listeria monocytogenes, and
Staphylococcus aureus under refrigeration
4.1 Introduction
In the EU, a total of 55,453 confirmed cases of infection, 5,118
hospitalizations, and 41 deaths were caused by foodborne outbreaks in 2012
(EFSA, 2014). The CDC reported that 48 million Americans get sick every
year due to foodborne illnesses caused by pathogenic microorganisms. Among
31 known pathogens, S. aureus and Listeria monocytogenes are among the top
five pathogens responsible for foodborne illnesses and deaths, respectively, in
the US (CDC, 2011).
Chapter 3 demonstrated the antibacterial effect of 405±5 nm LED
illumination on Gram-negative E. coli O157:H7, S. Typhimurium, and S.
sonnei. Although previous studies have shown the antibacterial effect of LEDs
between 405–420 nm on inactivation of B. cereus, L, monocytogenes, and S.
aureus in combination with δ-ALA as an exogenous photosensitizer (Nitzan et
al., 2004; Vaitonis and Lukšiene, 2010), little research has been reported on its
effect on Gram-positive pathogens without the addition of an exogenous
photosensitizer, which might be applicable and reflect real food storage
49
conditions. Moreover, it is necessary to elucidate which cellular components
are directly affected by ROS for a better understanding of its antibacterial
mechanism. Thus, the objective of this study was to examine the antibacterial
effect of 405±5 nm LED on B. cereus, L monocytogenes, and S. aureus
without the addition of an exogenous photosensitizer and to elucidate its
antibacterial mechanism by determining membrane and DNA damage.
4.2 Materials and methods
4.2.1 Bacterial strains and culture conditions
B. cereus (ATCC 14579), L. monocytogenes (BAA-679), and S. aureus
(ATCC 6538) were obtained from the ATCC and stored at -70 °C. The culture
conditions are as described in Chapter 3.2.1.
4.2.2 LED source
LED source is described in Chapter 3.2.2.
4.2.3 LED illumination system
LED illumination system is described in Chapter 3.2.3.
4.2.4 Bacterial inactivation by 405±5 nm illumination
The detailed procedures for bacterial inactivation are described in
Chapter 3.2.4.
4.2.5 Weibull model for bacterial inactivation kinetics
The modified Weibull model is described in Chapter 3.2.5.
50
4.2.6 Bacterial sensitivity to NaCl by LED illumination
In order to determine the damage of cytoplasmic membranes of cells
caused by LED illumination, sensitivity to NaCl was demonstrated by
comparing differences in the counts (CFU/mL) of pathogens grown on TSA
(non-selective agar) and TSA supplemented with NaCl as selective agar. Non-
illuminated and LED-illuminated cells were plated onto TSA with 4% (w/v)
NaCl for B. cereus and L. monocytogenes or 7% (w/v) NaCl for S. aureus. The
percentage of sensitive cells was calculated as described in Chapter 3.2.6.
4.2.7 Determination of bacterial membrane integrity
The membrane integrity of non-illuminated and LED-illuminated cells
was determined using the LIVE/DEAD® BacLight Viability. The detailed
procedures are described in Chapter 3.2.7.
4.2.8 Determination of DNA degradation
After LED illumination, bacterial DNA degradation was determined
using the OxiSelect™ Comet Assay Kit as described in Chapter 3.2.8.
For DNA ladder analysis, genomic DNA prepared from non-illuminated
cells and LED-illuminated cells treated at a total dose of 486 J/cm2 was
extracted and purified using GenElute™
Bacterial Genomic DNA Kit as
described in Chapter 3.2.9.
4.2.9 Statistical analysis
Statistical analysis is described in Chapter 3.2.10.
51
4.3 Results
Changes in temperature of cell suspensions were monitored during
LED illumination to design a control experiment. The temperature of
suspensions rapidly increased to 9–10 °C within 1 h of illumination at a set
temperature of 4 °C (data not shown). Thus, non-illuminated control
experiments were carried out at a temperature of 10 °C to eliminate
temperature at an effect on the inactivation by the 405±5 nm LED illumination.
To evaluate the antibacterial effect of 405±5 nm LED, three Gram-
positive foodborne pathogens were exposed to 405±5 nm LED for 7.5 h until
486 J/cm2 at a set temperature of 4 °C. Illumination resulted in 1.9-, 2.1-, and
0.9-log reductions for B. cereus, L. monocytogenes and S. aureus,
respectively, at a total dose of 486 J/cm2
(Figure 4–1). On the other hand, no
significant (P > 0.05) inactivation was observed for non-illuminated cells held
for 7.5 h at 10 °C, regardless of test pathogen.
The sensitivity of pathogens to LED illumination was compared using
reliable life (tR), analogues to D-value, calculated with a modified Weibull
model based on the α and β parameters (Table 4–1). The α value (scale
parameter) corresponds to the mean of distribution, explaining inactivation
times (h) of microbial populations, and is generally considered as measure of
the bacterial resistance to LED illumination with exposure time, while
coefficient β determines the shape of Weibull distribution, indicating the
influence on predicted death rate (Bialka et al., 2008; Unluturk et al., 2010;
van Boekel, 2002). Among the bacterial strains tested, the α value of L.
52
Figure 4-1 Antibacterial effect of B. cereus (a), L. monocytogenes (b) and S.
aureus (c) during the illumination with 405 nm LED at a set temperature of 4
°C. Asterisk (*) indicates significant (P ≤ 0.05) differences between LED-
illuminated and non-illuminated cell counts.
*
*
*
*
0
1
2
0 1.5 3 4.5 6 7.5
Red
uc
tio
n (
log
CF
U/m
L)
(a)
Control 405 nm
* *
*
0
1
2
0 1.5 3 4.5 6 7.5
Re
du
cti
on
(lo
g C
FU
/mL
)
(b)
Control 405 nm
* *
*
0
1
2
0 1.5 3 4.5 6 7.5
Re
du
cti
on
(lo
g C
FU
/mL
)
(c)
Control 405 nm
(0) (97) (194) (292) (389) (486)
Time (h)
Dose (J/cm2)
53
monocytogenes was two times less than those of B. cereus and S. aureus. The
result corresponds with the highest inactivation observed for L.
monocytogenes in Figure 4–1. The β value of L. monocytogenes was nearby 1,
which means that the rate of inactivation was not dependent on the light dose
(Table 4–1). The β values of B. cereus and S. aureus were larger than 1,
indicating higher accumulated damage and kill rates of the LED illumination
to the cells with an increase in light dose (Couvert et al., 2005). If β < 1, high
inactivation rate would be observed at lower light dose; however, inactivation
rates would gradually decrease with increasing light dose (McKenzie et al.,
2013). However, when the β coefficient is not equal to 1, both α and β
parameters are necessary to assess the sensitivity of cells to 405±5 nm LED
illumination, and thus tR values based on these two parameters were
calculated. The tR values of the three pathogens were significantly (P ≤ 0.05)
different, revealing that L. monocytogenes was identified as the most
susceptible pathogen to the 405±5 nm LED illumination, followed by B.
cereus and S. aureus.
Changes in cell sensitivity to NaCl were evaluated to determine if LED
illumination causes damage to the cytoplasmic membrane of cells. Results
showed that the percentage of cells sensitive to NaCl reached more than 90%
after 3 h for B. cereus and L. monocytogenes and after 4.5 h for S. aureus
(Figure 4–2). The maximum percentages were 98.2% for B. cereus, 92.3% for
L. monocytogenes, and 99.6% for S. aureus after exposure to 405±5 nm LED
for 6–7.5 h. However, no significant (P > 0.05) increase in bacterial sensitivity
54
Table 4-1 Weibull model parameters1 for the inactivation of B. cereus, L. monocytogenes, and S. aureus by 405 nm LED illumination.
Bacterial strain
α (h) β
tR (h) R2
95% confidence intervals
Average
95% confidence intervals
Average Lower Upper Lower Upper
B. cereus 3.35 ± 0.05b 3.22 3.48 1.75 ± 0.13
b 1.52 2.14 5.30 ± 0.11
b 0.99±0.02
L. monocytogenes 1.49 ± 0.37a 0.57 2.41 0.95 ± 0.12
a 0.66 1.24 3.57 ± 0.56
a 1.00±0.01
S. aureus 3.63 ± 0.29b 2.91 4.36 1.11 ± 0.12
a 0.81 1.42 7.72 ± 0.05
c 1.00±0.01
1All measurements were done in triplicate with replication, and all values are means ± standard deviation. Different letters within the same
column indicate significant (P ≤ 0.05) difference.
55
to NaCl was observed in LED-illuminated cells with an increase in exposure
time.
To obtain concrete evidence that cellular membrane damage occurred
cell membrane permeability of B. cereus, L. monocytogenes, and S. aureus
was examined using the LIVE/DEAD® BacLight
TM assay. LIVE/DEAD
staining by SYTO®9 and propidium iodide (PI) bound to nucleic acid
distinguishes between damaged and intact bacterial membranes. Green
fluorescing SYTO®9 (485/500 nm) penetrates the cytoplasmic membranes of
both intact and damaged cells due to low molecular weight (~10 Da), while
red fluorescing PI (490/635 nm) of higher molecular weight (668 Da) is only
able to permeate the damaged cytoplasmic membranes, resulting in a
reduction in the intensity of SYTO®9 when two stains coexist within the cell
(Bleichert et al., 2014; Joux and Lebaron, 2000; Lacombe et al., 2013). In this
study, healthy and non-illuminated cells held at 10 °C for 7.5 h revealed green
fluorescent signal of SYTO®9, whereas some LED-illuminated cells showed
red fluorescence (Figure 4–3).
Cellular DNA damage was examined to determine if ROS produced
during LED illumination attack DNA. The comet assay, also called single-cell
gel electrophoresis (SCGE), is a simple and fast technique to detect damage
such as single- or double-strand breakage in DNA at the individual cell level.
The fragments of DNA migrate during electrophoresis and can be visualized
by fluorescent microscopy. Microscopic images in the comet assay show a
56
Figure 4-2 Percentage of the sensitive B. cereus (a), L. monocytogenes (b) and
S. aureus (c) cells to NaCl (4% for B. cereus and L. monocytogenes, and 7%
for S. aureus) during 405 nm LED illumination. Different letters within the
same curve indicate that mean values are significantly (P ≤ 0.05) different
from each other.
A A
A A
A
aA
b b b b b
0
20
40
60
80
100
0 1.5 3 4.5 6 7.5
Se
nsit
ivit
y (
%)
(a) Control 405 nm
A A
A A A
aA
b
c c c c
0
20
40
60
80
100
0 1.5 3 4.5 6 7.5
Se
nsit
ivit
y (
%)
(b) Control 405 nm
A
A
A A
A
aA
b
c
c c c
0
20
40
60
80
100
0 1.5 3 4.5 6 7.5
Se
nsit
ivit
y (
%)
(c) Control 405 nm
(0) (97) (194) (292) (389) (486)
Time (h)
Dose (J/cm2)
57
Figure 4-3 Epifluorescent micrographs of B. cereus (a), L. monocytogenes (b)
and S. aureus (c) cells stained with LIVE/DEAD® BacLight
TM before and after
LED illumination at a dose of 486 J/cm2.
comet with a clear head composed of intact DNA and a tail including
degraded fragments of DNA strands (Liao et al., 2009). In this study, only
clear heads were observed in non-illuminated cells and LED-illuminated cells
without the presence of tails, regardless of test pathogen (Figure 4–4).
To confirm the results obtained from the comet assay, DNA ladder
analysis was also carried out. Regardless of test pathogen, only one band was
observed in all the DNA ladder profiles (Lanes 1–9) of healthy, non-
illuminated, and LED-illuminated cells (Figure 4–5). Moreover, there was no
58
difference in total genomic DNA among healthy, non-illuminated, and LED-
illuminated cells.
Figure 4-4 Comet assay of DNA extracted from healthy, non-illuminated and
LED-illuminated B. cereus (a), L. monocytogenes (b) and S. aureus (c) at a
dose of 486 J/cm2.
Figure 4-5 Agarose gel electrophoresis profiles of DNA extracted from
healthy, non-illuminated and LED-illuminated cells at a total dose of 486
J/cm2. Lane: 1, healthy S. aureus; 2, S. aureus without LED illumination for
7.5 h; 3, LED-illuminated S. aureus for 7.5 h; 4, healthy L. monocytogenes; 5,
L. monocytogenes without LED illumination for 7.5 h; 6, LED-illuminated L.
monocytogenes for 7.5 h; 7, healthy B. cereus; 8, B. cereus without LED
illumination for 7.5 h; 9, LED-illuminated B. cereus for 7.5 h.
59
4.4 Discussion
The study conducted in Chapter 3 has demonstrated the antibacterial
effect of 405±5 nm LED against Gram-negative pathogens, E. coli O157:H7, S.
Typhimurium, and S. sonnei. To evaluate the efficacy of LED illumination on
Gram-positive pathogens, B. cereus, L. monocytogenes, and S. aureus, were
illuminated with 405±5 nm LED in the absence of a photosensitizer at a set
temperature of 4 °C. The refrigeration temperature was chosen in this study to
simulate storage conditions for RTE foods. Another reason is that the
antibacterial effect of blue LED is enhanced at lower temperatures rather than
at ambient temperature (Ghate et al., 2013).
Results showed that the populations of three Gram-positive bacteria
were reduced by 0.9 – 2.1 log CFU/mL at the end of LED illumination. S.
aureus was found to be the most resistant strain to 405±5 nm LED
illumination among the test pathogens. Differences in sensitivity to LED
illumination might be due to the differences in repair systems and defense
mechanisms caused by oxidative stress (Hamblin and Hasan, 2004) as well as
to variations in types and the amounts of endogenous porphyrin compounds
generated in cells (Kumar et al., 2015; Nitzan et al., 2004). For example,
Nitzan et al. (2004) reported that two Staphylococcus strains produced higher
amounts of coproporphyrin than did B. cereus after exposure to blue light
(407–420 nm), which caused high level of inactivation of both.
Unlike observation in the present study, Maclean et al. (2009) showed
that S. aureus was inactivated at the highest level of about 5-logs during the
405 nm LED illumination at a total dose of 36 J/cm2. Another study performed
by Endarko et al. (2012) reported that 5-log reduction of L. monocytogenes
60
was achieved by 405 nm LED illumination at a dose of 185 J/cm2. Such a
large difference in the effectiveness of the 405 nm LED illumination might be
due to difference in design of experiments such as initial population, depth and
total volume of cell suspension, the distance between LED and the suspension,
and treatment temperature (Endarko et al., 2012; Murdoch et al., 2010). For
example, the experimental design of Endarko et al. (2012) was done using a 2-
mL volume of cell suspension (7 mm depth) with an initial population of 105
CFU/mL and a 2-cm distance between the suspension and LED as well as a
stirring bar to agitate the suspension, which probably maximized its
bactericidal effect. However, in this study the LED illumination system was
designed to simulate realistic food storage conditions under refrigeration.
Therefore, higher volume and distance as well as no stirring were applied to
avoid agitation of the cell suspension under the LED illumination.
Bacterial sensitivity to NaCl was examined to determine damage to
cellular cytoplasmic membrane by LED illumination. In theory, cells with
membrane damage would be incapable of recovering on media containing
sublethal concentration of NaCl due to a loss of osmotic functionality (Ait-
Ouazzou et al., 2012; Somolinos et al., 2008). Results demonstrated that
changes in cell sensitivity to NaCl was significantly observed after LED
illumination compared to non-illuminated control cells, regardless of the test
pathogen. This raises the possibility of damage in cellular membrane by the
405±5 nm LED illumination since cells become more sensitive than the non-
illuminated control cells to NaCl. Similarly, Ghate et al. (2013; 2015a)
reported that L. monocytogenes and S. aureus in TSB were sensitive to NaCl
61
after treatment with 461 and 521 nm LEDs under the different illumination
temperature and pH conditions.
To get a better understanding of cellular membrane damage by LED
illumination, loss of cellular membrane integrity was examined using
LIVE/DEAD® BacLight
TM assay. Results show that some of LED-illuminated
cells lost their membrane integrity, whereas no noticeable damage was
observed in non-illuminated cells. It is known that there are several
mechanisms affecting loss of membrane integrity due to the physical functions
such as permeability barrier, enzyme activity, membrane potential, and pump
activity (Joux and Lebaron). However, the present results strongly suggest that
the alteration of membrane permeability by 405±5 nm LED illumination might
be the main reason for loss of membrane integrity due to the fact that only PI
is capable of entering inside the cells with loss of a permeability barrier (Joux
and Lebaron). Cellular membrane damage by the LED illumination may be
associated with membrane lipids which are one of major targets of ROS under
oxidative stress conditions. ROS generated by the LED illumination may
interact directly with unsaturated fatty acids in membranes and cause lipid
peroxidation, resulting in decreased fluidity and then changing membrane
components as well as disrupting membrane bound proteins (Cabiscol,
Tamarit, and Ros, 2000). Similar results were also obtained by Bleicher et al.
(2014) who reported that cytoplasmic membrane damage in Yersinia pestis
and Burkholderia strains was caused by metallic copper surfaces due to
oxidative damage.
Similar to changes in cell membranes, genomic DNA is also a crucial
target of ROS produced under the oxidative stress conditions such as ionizing
62
radiation and UV light (Imlay, 2008; Kumari et al., 2008). ROS are known to
cause DNA damage by attacking guanine bases and forming oxidized
derivatives, such as 8-hydroxy-deoxyguanosine (8-OHdG) (Nitzan and
Ashkenazi, 2001). Therefore, the comet assay and DNA ladder analysis were
carried out to determine if DNA degradation by ROS generated from the LED
illumination occurs. Results demonstrated that no noticeable damage to DNA
was observed in non-illuminated and LED-illuminated cells, suggesting that
405±5 nm LED illumination might not cause bacterial DNA breakage. Most
likely, the amounts of ROS generated by the LED illumination are not
sufficient to break down DNA strands. ROS could feasibly target and oxidize
other cellular components such as lipids or proteins. Similarly, the study
conducted by Nitzan and Ashkenazi (2001) demonstrated that visible light
(400–450, 480–550, and 600–700 nm) in the presence of an exogenous
photosensitizer resulted in cytoplasmic membrane damage in A. baumannii
and E. coli, while the DNA was still intact.
4.5 Conclusions
This is the first report on the antibacterial effect and mechanism of
405±5 nm LED on major Gram-positive foodborne pathogens held at
refrigeration temperature. The present results demonstrate that the 405±5 nm
LED illumination reduces population of B. cereus, L. monocytogenes and S.
aureus. L. monocytogenes was the most sensitive pathogen to the LED
illumination. Sensitivity to NaCl was enhanced and loss of membrane
permeability was occurred, while DNA breakage was not observed after LED
illumination. These findings suggest antibacterial effect of 405±5 nm LED on
63
these Gram-positive pathogens is due to physical damage to cellular
membranes rather than DNA. This study also proposes that 405±5 nm LED in
combination with refrigeration is a promising technology for eliminating
pathogens on foods during storage.
64
Chapter 5
405 ±5 nm LED illumination causes photodynamic inactivation
of Salmonella on fresh-cut papaya without deterioration
5.1 Introduction
Papaya is one of the most popular fresh-cut fruit products worldwide,
especially in Southeast Asia, due to its large size and high nutrient contents,
but it perishes easily after harvest and during storage. Fresh-cut papayas have
been linked to Salmonella outbreaks in Australia (2006) (Gibbs et al., 2009)
and Singapore (1996) (Ooi et al., 1997). In the former case, papaya was
washed using river water prior to sale, resulting in contamination with
Salmonella (Gibbs et al., 2009). A total of 106 confirmed cases of S. Agona
infection have been linked to whole and fresh imported papayas have been
reported from 25 states of the US (Raybaudi-Massilia et al., 2013; CDC,
2011). Thus, implementation of proper preservation technologies in the fresh
fruit supply chain is necessary to minimize the risk of salmonellosis.
A LED technology has recently received attention in the field of food
microbiology due to its antibacterial effect on foodborne pathogens. For
example, the antibacterial effect of 400 nm LED has been reported to be
effective against L. monocytogenes and S. Typhimurium in buffered solution
containing exogenous photosensitizers, chlorophyllin or 5-ALA (Luksienė et
65
al., 2013). In previous studies, 405 and 461 nm LEDs without photosensitizers
have demonstrated antibacterial activity against various foodborne pathogens
in PBS and TSB, resulting in 1–5 log reductions after LED illumination for
7.5 h (see Chapters 3 and 4; Ghate et al., 2013; Kumar et al., 2015).
To the best of my knowledge, studies have not been conducted to
explore the effectiveness of 405±5 nm LED on the inhibition of bacterial
growth on fresh-cut fruits without exogenous photosensitizers. The objective
of this study was to assess the potential of 405±5 nm LED for inhibiting or
killing Salmonella on fresh-cut papaya stored at different storage
temperatures. The physicochemical and nutritional qualities of illuminated
fruits were also analyzed to determine if long-term exposure of fruits to LED
illumination influences food quality. Lastly, the extent of oxidative damage to
cell membranes and DNA was investigated to better understand the
antibacterial mechanism of LED illumination.
5.2 Materials and methods
5.2.1 Bacterial strains and culture conditions
Four Salmonella enterica serovars were used in this study: S. Agona
(BAA-707) (SA), S. Newport (ATCC 6962) (SN), S. Saintpaul (ATCC 9712)
(SS), and S. Typhimurium (ATCC 14028) (ST). All serovars were purchased
from the ATCC. Frozen stock cultures stored at -70 °C were revived in 10 mL
of sterile TSB at 37 °C for 24 h. All Salmonella cultures were adapted to 200
μg/mL of nalidixic acid (Sigma-Aldrich) by successive culturing with
incremental increases in concentrations of nalidixic acid in 10 mL of TSB to
enable enumeration of Salmonella free from background microbiota in fresh-
66
cut papaya. The working cultures in the stationary phase were prepared by
incubation in 10 mL of TSB supplemented with 200 μg/mL of nalidixic acid at
37 °C for 18–24 h, with two consecutive transfers.
5.2.2 LED source and illumination system
Detailed information for the LED source and illumination system is
presented as described in Chapters 3.2.2 and 3.2.3, respectively. To illuminate
papaya, two fresh-cut fruit samples in a sterile Petri dish (60 mm diameter)
were placed directly below the LEDs at a distance of 4.5 cm. The irradiance of
405±5 nm LED on the fruit surface was 10±1 mW/cm2, which was measured
by a Compact Power and Energy Meter Console (PM100D; Thorlabs GmbH,
Dachau, Germany). To determine the antibacterial properties of the LED,
suspensions of Salmonella in a sterile Petri dish (35 mm diameter) were placed
directly below the LED at a distance of 2.3 cm. Irradiance was 35±3 mW/cm2
at the surface of suspensions.
5.2.3 Preparation of fresh-cut papaya
Fresh papayas (Carica papaya) were purchased from a local
supermarket in Singapore. Papayas were washed with tap water, surface-
sterilized with 30% (v/v) commercial bleach (0.9±0.05% (v/w) sodium
hypochlorite) for 30 min, rinsed three times with sterile deionized water, and
dried with Kimwipes (Kimtech Science, Kimberly Clark Professional,
Roswell, GA, USA). The dried papayas were peeled aseptically and cut into
approximately 10-g slices in a semicircle shape (60 mm diameter) in a
biosafety cabinet.
67
5.2.4 Inoculation on fresh-cut papaya
One mL of each Salmonella serovar adapted to nalidixic acid was
centrifuged at 6,000 × g for 10 min at 4 °C and washed twice with 1 mL of
sterilized PBS. Cells in the resultant pellet were resuspended in 1 mL of PBS
and diluted to approximately 105 CFU/mL in PBS. A 10-µL aliquot of the
diluted suspension was spot-inoculated at 10 sites on the fruit surface to reach
a final concentration of approximately 103 CFU/cm
2, and the inoculated fruits
were dried for 30 min in a biosafety cabinet. Then, the fruits were individually
packed with cling wrap to simulate packaging conditions of cut fruit in retail
stores.
5.2.5 LED illumination on fresh-cut papaya
The inoculated cut papayas were placed directly into the LED system as
previously described, and illuminated by 405±5 nm LED at set temperatures
of 4, 10, or 20 °C, for 24–48 h (a total dose of 0.9–1.7 kJ/cm2) in a
temperature controlled incubator. A non-illuminated control sample was also
placed in an incubator under dark conditions. For duplicate samples, two fruits
were illuminated simultaneously.
Illuminated and non-illuminated fruits were taken at selected time
intervals, immediately transferred into sterile stomacher bags containing 90
mL of 0.1% (v/w) peptone water, and homogenized for 2 min using a paddle
blender (Silver Masticator, IUL Instruments GmbH, Königswinter, Germany).
The homogenized samples were serially diluted in 0.1% peptone water if
necessary, and samples were plated onto TSA supplemented with 200 μg/mL
68
of nalidixic acid, followed by incubation at 37 °C for 24–48 h. The number of
colonies was enumerated manually with a colony counter (Rocker Scientific
Co. Ltd., Taipei, Taiwan) and reported in log CFU/cm2.
5.2.6 Analysis of cellular lipid peroxidation
A thiobarbituric acid reaction substance (TBARS) assay was performed
to analyze oxidative damage by 405±5 nm LED illumination to membrane
lipids in S. Agona and S. Typhimurium chosen as models. Malondialdehyde
(MDA) is produced naturally by lipid peroxidation and is a reliable indicator
of lipid peroxidation (Joshi et al., 2011).
Fifty milliliters of stationary phase Salmonella culture in TSB were
centrifuged at 8,000 × g for 10 min at 4 °C and washed twice with 5 mL of
PBS. Cells in the resultant pellet were resuspended in 2 mL of PBS to provide
a final population of approximately 1011
CFU/mL to enable determination of
cellular lipid peroxidation (Carré et al., 2014). Two milliliters of suspension
were illuminated to 405±5 nm at a set temperature of 4 °C for 7 h (a total dose
of 0.9 kJ/cm2) in the incubator. A bacterial suspension incubated for 7 h
without LED illumination served as non-illuminated control.
To quantify lipid peroxidation, LED-illuminated and non-illuminated
cells were centrifuged at 9,000 × g for 10 min. Cells in the resultant pellet
were resuspended in 100 μL of PBS containing 5 μL of 100× butylated
hydroxytoluene (BHT; Sigma-Aldrich) to prevent further oxidation and
subsequently added to 200 μL of 5% sodium dodecyl sulfate (SDS) lysis
buffer (Sigma-Aldrich). After incubation of the mixture for 30 min at room
temperature, 900 μL of freshly prepared TBA reagent (5.2 mg TBA per 1 mL
69
of 10% trichloroacetic acid, TCA; Sigma-Aldrich) were added to the mixture
and incubated at 95 °C for 1 h, followed by cooling in an ice bath for 10 min
before centrifugation at 3,000 × g for 15 min. The supernatant (200 μL) was
transferred in duplicate to a 96-well plate and measured at 532 nm using a
Synergy HT multi-detection Microplate reader (Bio-Tek Instruments Inc.,
Winooski, VT, USA). The degree of peroxidation of cellular lipids was
calculated based on a standard curve between 0 and 62.5 μM MDA (Merck,
Darmstadt, Germany). Results were expressed in nM MDA equivalents per
1011
cells.
5.2.7 Analysis of DNA oxidation
A 2-mL cell suspension containing approximately109 CFU/mL was
prepared as previously described and illuminated at 4 °C for 7 h (a total dose
of 0.9 kJ/cm2). LED-illuminated and non-illuminated cells were collected and
centrifuged at 9,000 × g for 10 min at 4 °C. Cells in the resultant pellet were
used for DNA extraction with a GeneJET Genomic DNA Purification Kit
(Thermo Scientific, Waltham, MA, USA) according to the manufacturer’s
instructions. The purified DNA was dissolved in 100 μL of elution buffer. The
concentration of purified DNA was measured using a BioDrop Touch Duo
Spectrophotometer (BioDrop, Cambridge, UK).
The degree of oxidation of purified DNA was measured using an
OxiSelect™
Oxidative DNA Damage ELISA kit (Cell Biolabs) according to
the manufacturer’s instructions with minor modifications. Briefly, the purified
DNA (2–5 μg) was converted into single-stranded DNA by incubating at 95
°C for 5 min and immediately chilling in an ice bath. The denatured DNA was
70
incubated with 6 units of nuclease P1 (Wako, Osaka, Japan) in 20 mM of
sodium acetate buffer (pH 5.2) (Sigma- Aldrich) at 37 °C for 2 h. After
incubation, 2 units of E. coli alkaline phosphatase (Takara Bio Inc., Shiga,
Japan) and a 10% volume of 10× alkaline phosphatase buffer (Takara Bio
Inc.) were added, followed by incubation at 37 °C for 1 h. The reaction
mixture was centrifuged at 6,000 × g for 5 min and the supernatant was used
for 8-hydroxydeoxyguanosine (8-OHdG) quantification as described in the
assay protocol. The resulting sample was measured at 450 nm using the
microplate reader. The amount of 8-OHdG was quantified using a standard
curve (0–20 ng/mL) and expressed as ng 8-OHdG per mg of DNA.
5.2.8 Colour analysis
The colour of fresh-cut papaya illuminated with 405±5 nm LED was
measured using a reflectance spectrometer (CM-3500d; Konica Minolta
Sensing Inc., Osaka, Japan) set to a D65 illuminant at a 10° observation. The
parameters of colour distribution consisted of L* (lightness, black = 0, white =
100), a* (red > 0, green < 0), and b
* (yellow > 0, blue < 0). The L
*a
*b
* values
obtained from papaya samples were used to determine the colour difference
(ΔE) between LED-illuminated and the non-illuminated control fruits using
the following equation (Mohammadi et al., 2008).
(4.1)
71
5.2.9 Texture analysis
The texture of LED-illuminated fruits was measured using a puncture
test using a TA-XT2 Texture Analyser (Stable Micro Systems Ltd., Surrey,
UK). Samples were punctured with a 6 mm cylindrical probe (P6) at a speed
of 3 mm/sec and at a distance of 6 mm. The force at the maximum peak is
expressed in Newton (N).
5.2.10 Antioxidant capacity
To determine antioxidant capacity, LED-illuminated and non-
illuminated samples were extracted according to González‐Aguilar et al.
(2007a) with minor modifications. LED-illuminated and non-illuminated fruits
(ca. 10 g) were homogenized in 25 mL of 80% methanol containing 0.5%
sodium bisulfate (Sigma-Aldrich) and sonicated for 60 min at room
temperature. Ice was added to inhibit temperature increase. After sonication,
the homogenates were centrifuged at 3,000 × g for 10 min at room
temperature. The supernatant was filtered using Whatman™
No. 1 filter paper
(GE Healthcare, Little Chalfont, Buckinghamshire, UK). Extracts were stored
at – 20 °C prior to determining antioxidant capacity and total flavonoid
content.
Extract (20 μL) was added to 280 μL of 2,2-diphenyl-1-picrylhydrazyl
(DPPH; Sigma-Aldrich) solution freshly prepared by dissolving 1.42 mg of
DPPH in 10 mL of methanol. The mixture was incubated for 30 min at room
temperature in darkness. The mixture (200 μL) was transferred in duplicate to
a 96-well plate and measured at 515 nm using the microplate reader.
Antioxidant capacity was calculated on the basis of a standard curve between
72
0 and 800 μM Trolox (Sigma-Aldrich). Results were expressed in mg trolox
equivalents (TE)/100 g fresh weight (FW).
5.2.11 Total flavonoid content
Flavonoids were extracted as described above. Flavonoid measurement
was performed according to the method of Sultana et al. (2012) with minor
modifications. Extract (50 μL) was added to 200 μL of deionized water and 15
μL of 5% sodium nitrite (Sigma-Aldrich). After equilibration for 5 min, 15 μL
of a 10% aluminum chloride (Sigma-Aldrich) solution were added and
equilibrated for 5 min, followed by addition of 100 μL of 1 M sodium
hydroxide. The final volume was adjusted to 500 μL with deionized water. A
200-μL mixture was loaded in a 96-well plate in duplicate, followed by
reading at 415 nm using the microplate reader. A standard curve was prepared
in the concentration range of 0–250 μM Quercetin (Sigma-Aldrich). The total
flavonoid content was expressed in mg quercetin equivalents (QE)/100 g FW.
5.2.12 Ascorbic acid
Ascorbic acid was extracted as described by Barros et al. (2007) and
Spilimbergo et al. (2013) with minor modifications. Fruit samples (ca. 5 g)
were added to 10 mL of 2.5% meta-phosphoric acid (Sigma-Aldrich),
incubated for 45 min at room temperature, and centrifuged at 3,000 × g for 2
min. The supernatant was filtered using Whatman™
No. 1 filter paper and
filtrate was stored at 4 °C until analysis.
A stock solution (0.025% DCIP) was freshly prepared by dissolving
12.5 mg of 2,6-dichloroindophenol (DCIP) sodium salt (Sigma-Aldrich) in 50
73
mL of deionized water containing 1 mg of sodium bicarbonate (Sigma-
Aldrich). Extract (120 μL) was mixed with 80 μL of stock solution in a 96-
well plate and the mixture was measured at 515 nm using the microplate
reader (Barros et al., 2007; Freed, 1996). A standard curve was prepared using
250–700 μM L-ascorbic acid (Sigma-Aldrich). The concentration of ascorbic
acid was calculated and expressed as mg ascorbic acid/100 g FW.
5.2.13 β-carotene and lycopene
Preparation of fruit samples for β-carotene and lycopene measurements
was performed according to the methods of Barros et al. (2007) and Nagata
and Yumashita (1992) with minor modifications. Illuminated and non-
illuminated fruit samples (ca. 5 g) in 50-mL Falcon tubes were vigorously
shaken with 10 mL of acetone-hexane mixture (4:6, v/v) for 2 min. The
mixture was centrifuged for 2 min at 3,000 × g and filtered through
Whatman™
No. 1 filter paper. The filtrates were kept in 4 °C until analysis.
Filtrates (200 μL) were added in duplicate to a 96-well plate and
measured at 663, 645, 505, and 453 nm using the microplate reader. Results
were expressed as mg β-carotene/100 g FW or mg lycopene/100 g FW and
calculated using the following equations (Nagata and Yamashita, 1992):
β-carotene (mg/100 g) = 0.216 A663 – 1.22 A645 – 0.304 A505 + 0.452 A453 (4.2)
Lycopene (mg/100 g) = –0.0458 A663+0.204 A645+0.372 A505–0.0806 A453 (4.3)
5.2.14 Statistical analysis
Statistical analysis is described in Chapter 3.2.10
74
5.3 Results
5.3.1 Change in temperature of fruit surface and PBS during LED
illumination
To measure heating the effect caused by LED illumination, temperatures
of the surface of fresh-cut papaya and PBS were monitored during the 405±5
nm LED illumination. Results show that LED illumination increased the
temperatures of the fruit surface and PBS by approximately 3.2 and 5.6 °C,
respectively, within 1 h when incubator temperatures were set at 4 °C (Figure
5–1). Differences in temperature increase might be explained by different
LED intensities, which were adjusted by the distance between the cell
suspension or the fruit surface and the LED source, indicating that lower LED
intensities result in less variance in temperature. Similar temperature increases
were also observed at 10 and 20 °C (data not shown). Thus, non-illuminated
control experiments were performed at 3.2 and 5.6 °C higher than those for
illuminated samples for fruits and PBS, respectively, to minimize the influence
of temperature increase on inactivation or growth of Salmonella during LED
illumination.
75
Figure 5-1 Surface temperature profile of buffered solution (a) in an
acrylonitrile butadiene styrene (ABS) housing at a distance of 2.3 cm and
fresh-cut papaya (b) in an ABS housing at a distance of 4.5 cm recorded
during 405±5 nm LED illumination at 4 °C.
5.3.2 Behavior of Salmonella on fruit surface during LED illumination
The behaviors of S. Agona, S. Newport, S. Saintpaul, and S.
Typhimurium on the surface of fresh-cut papaya were monitored during 405±5
nm LED illumination at different storage temperatures. At 4 °C (actual surface
temperature of 7.2 °C), populations of all Salmonella serovars were
significantly (P ≤ 0.05) reduced by 1.0–1.2 log CFU/cm2 during LED
illumination (a total dose of 1.7 kJ/cm2), whereas no significant (P > 0.05)
change was observed in populations on non-illuminated fruits for 48 h at 7.2
°C (Figure 5–2). Non-illuminated populations on fruits gradually increased to
4.6, 4.3, 4.0, and 3.8 log CFU/cm2 for S. Agona, S. Newport, S. Saintpaul, and
76
Figure 5-2 Effects of 405±5 nm LED illumination on survival of S. Agona (a),
S. Newport (b), S. Saintpaul (c), and S. Typhimurium (d) on the surface of
fresh-cut papaya at 4 °C (actual temperature of 7.2 °C). Asterisk (*) indicates
significant (P ≤ 0.05) difference between LED-illuminated and non-
illuminated bacterial cell counts.
S. Typhimurium, respectively, for 36 h at 13.2 °C (Figure 5–3) compared to 4
°C. In contrast, LED illumination resulted in 0.3-, 0.6-, and 1.3-log reductions
for S. Newport, S. Saintpaul, and S. Typhimurium, respectively, while LED-
illumination inhibited the growth of S. Agona cells for 36 h (a total dose of 1.3
kJ/cm2) at 10 °C. At a set temperature of 20 °C for 24 h (a total dose of 0.9
* *
* *
1
2
3
4
0 12 24 36 48 Su
rvio
vrs
(lo
g C
FU
/cm
2)
Exposure time (h)
(a)
Control 405 nm
* *
* *
1
2
3
4
0 12 24 36 48
Exposure time (h)
(b)
Control 405 nm
* *
*
* *
1
2
3
4
0 12 24 36 48
Su
rvio
vrs
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm
* * * *
*
1
2
3
4
0 12 24 36 48
Exposure time (h)
(d)
Control 405 nm
77
Figure 5-3 Effects of 405±5 nm LED illumination on survival of S. Agona (a),
S. Newport (b), S. Saintpaul (c), and S. Typhimurium (d) on the surface of
fresh-cut papaya at 10 °C (actual temperature of 13.2 °C).
kJ/cm2), non-illuminated S. Agona, S. Newport, S. Saintpaul, and S.
Typhimurium cells rapidly grew to 8.1, 7.5, 8.2, and 8.4 log CFU/cm2, while
the number of LED-illuminated cells reached 6.7, 6.3, 7.0, and 6.8 log
CFU/cm2 during the same period, revealing LED illumination delayed the
growth of Salmonella cells on fresh-cut papaya at room temperature (Figure
5–4).
* * * * *
1
3
5
0 6 12 18 24 30 36
Su
rviv
ors
(lo
g C
FU
/cm
2)
Expsoure time (h)
(a)
Control 405 nm
* * * * *
1
3
5
0 6 12 18 24 30 36
Exposure time (h)
(b)
Control 405 nm
* * * * *
1
3
5
0 6 12 18 24 30 36
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm
* * * * * 1
3
5
0 6 12 18 24 30 36
Exposure time (h)
(d)
Control 405 nm
78
Figure 5-4 Effects of 405±5 nm LED illumination on survival of S. Agona (a),
S. Newport (b), S. Saintpaul (c), and S. Typhimurium (d) on the surface of
fresh-cut papaya at 20 °C (actual temperature of 23.2 °C).
5.3.3 Oxidative damage to membrane lipid and DNA in Salmonella cells
The degrees of lipid peroxidation and DNA oxidation were analyzed to
determine if ROS generated by LED illumination oxidized these two cellular
components. Populations of S. Agona and S. Typhimurium were similarly
inactivated by 2.0–2.7 log CFU/mL at initial population densities of 1011
and
109
CFU/mL for lipid peroxidation and DNA oxidation, respectively, at 0.9
kJ/cm2 (for 7 h) at 4 °C (actual temperature of 9.6 °C) (Figure 5–5a and 5–6a),
* *
*
1
4
7
10
0 6 12 18 24 Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(a)
Control 405 nm * *
*
*
1
4
7
10
0 6 12 18 24
Exposure time (h)
(b)
Control 405 nm
* *
*
1
4
7
10
0 6 12 18 24 Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm *
* *
*
1
4
7
10
0 6 12 18 24
Exposure time (h)
(d)
Control 405 nm
79
Figure 5-5 Log reduction (a) in S. Agona (SA) and S. Typhimurium (ST) and
lipid peroxidation (b) by 405±5 nm LED illumination at 4 °C for 7 h (a total
dose of 0.9 kJ/cm2) in PBS.
Figure 5-6 Log reduction (a) in S. Agona (SA) and S. Typhimurium (ST) and
the level of 8-hydroxydeoxyguanosine (8-OHdG) (b) by 405±5 nm LED
illumination at 4 °C for 7 h (a total dose of 0.9 kJ/cm2) in PBS.
whereas no reduction was observed in non-illuminated cells. There was no
significant (P > 0.05) difference in lipid peroxidation between non-
illuminated controls and illuminated cells, regardless of serotype (Figure 5–
5b). For DNA oxidation, the levels of 8-OHdG in illuminated S. Agona and S.
Typhimurium were 1.7–1.8 times higher than those of non-illuminated control
* *
0
1
2
3
4
SA ST
Red
uc
tio
n (
log
CF
U/m
L)
(a)
Control 405 nm
0
2
4
6
8
SA ST
TB
AR
S
(nM
MD
A e
qu
iva
len
ts/1
01
1 c
ell
s)
(b)
Control 405 nm
*
*
0
1
2
3
4
SA ST
Red
uc
tio
n (
log
CF
U/m
L)
(a)
Control 405 nm
* *
0
10
20
30
SA ST
ng
8-O
Hd
G /
mg
DN
A
(b)
Control 405 nm
80
cells, indicating that ROS preferentially oxidizes DNA rather than lipids in the
cell membrane (Figure 5–6b).
5.3.4 Changes in colour and texture of cut papaya by LED illumination
Changes in colour and texture of fresh-cut papaya illuminated by 405±5
nm LED were measured to determine if LED illumination negatively
influences these sensorial qualities. As shown in Table 5–1, no significant (P >
0.05) differences were observed between colour difference (ΔE), although the
mean ΔE values of LED-illuminated fruits were higher than those of non-
illuminated fruits. A similar trend was observed with firmness (N) between
non- illuminated and LED-illuminated cut fruits, regardless of storage
temperature. However, a loss of firmness was observed in both non-
illuminated and LED-illuminated cut fruits during storage compared to fresh-
cut fruit at 0 h, probably due to cut processing and ripening.
Table 5-1 Colour and texture changes1 in fresh-cut papaya by 405±5 nm LED
illumination.
Temperature
(°C)
Time
(h)
Dose
(kJ/cm2)
Sample Colour difference
(ΔE)
Firmness
(N)
20 0 0 control 2.60 ± 0.27a
24 0 dark 30.31 ± 2.45a 1.18 ± 0.45
b
1.56 405 nm 32.90 ± 1.45a 1.00 ± 0.16
b
10 0 0 control 3.99 ± 0.90a
36 0 dark 33.33 ± 4.13a 1.65 ± 0.07
b
2.33 405 nm 36.86 ± 8.91a 1.77 ± 0.25
b
4 0 0 control 2.60 ± 0.27a
48 0 dark 25.09 ± 6.10a 1.22 ± 0.39
b
3.11 405 nm 30.80 ± 8.23a 1.06 ± 0.25
b
1 Different letters within the same column at the same storage temperature
differ significantly (n=6; P ≤ 0.05).
81
5.3.5 Effect of LED illumination on antioxidant capacity, flavonoid
content and nutrients of fruit
Table 5–2 shows changes in antioxidant capacity and flavonoid,
ascorbic acid, β-carotene, and lycopene contents in LED-illuminated and non-
illuminated fruits during storage at different temperatures. There were no
significant (P > 0.05) changes in the antioxidant capacity of cut fruits,
regardless of LED illumination, whereas the total flavonoid content in all
illuminated fruits was 1.5–1.9 times higher than that in fruit at 0-h storage.
However, the total flavonoid content in LED-illuminated fruits was found to
increase significantly (P ≤ 0.05) during storage at 20 and 4 °C, compared to
non-illuminated fruits.
No significant changes in the levels of ascorbic acid, β-carotene, and
lycopene were observed between LED-illuminated and non-illuminated fruits.
On the other hand, higher contents of β-carotene and lycopene were found in
LED-illuminated and non-illuminated fruits stored at 20 °C. Overall, 405±5
nm LED illumination did not negatively influence the physicochemical and
nutritional qualities of fresh-cut papaya.
82
Table 5-2 Effects of 405±5 nm LED illumination on antioxidant capacity1 and ascorbic acid, flavonoid, β-carotene, and lycopene contents
1 in
fresh-cut papaya at varying storage temperatures.
Storage
Temperature (°C) Time (h) Sample
Antioxidant capacity
(mg TE/100 g FW)
Flavonoid
(mg QE/100 g FW)
Ascorbic acid
(mg/100 g FW)
β-carotene
(mg/100 g FW)
Lycopene
(mg/100 g FW)
20 0 control 45.43 ± 3.43a 1.85 ± 0.30
a 18.00 ± 1.89
a 0.29 ± 0.11
a 0.34 ± 0.22
a
24 dark 45.85 ± 3.38a 2.67 ± 0.39
a 17.78 ± 1.56
a 0.48 ± 0.07
b 0.74 ± 0.18
ab
405 nm 41.87 ± 5.47a 3.53 ± 0.53
b 17.54 ± 2.73
a 0.50 ± 0.02
b 0.90 ± 0.32
b
10 0 control 39.08 ± 5.97a 1.85 ± 0.30
a 16.85 ± 2.77
a 0.29 ± 0.11
a 0.34 ± 0.22
a
36 dark 36.95 ± 4.75a 3.14 ± 0.88
b 17.20 ± 1.22
a 0.36 ± 0.18
a 0.64 ± 0.09
ab
405 nm 34.63 ± 3.96a 3.36 ± 0.53
b 16.23 ± 1.53
a 0.30 ± 0.13
a 0.75 ± 0.14
b
4 0 control 45.63 ± 3.43a 1.85 ± 0.30
a 18.00 ±1.89
a 0.29 ± 0.11
a 0.34 ± 0.22
a
48 dark 46.05 ± 1.41a 1.85 ± 0.08
a 14.62 ± 3.37
ab 0.37 ± 0.19
a 0.52 ± 0.11
ab
405 nm 44.22 ± 3.23a 2.84 ± 0.59
b 13.26 ± 0.77
b 0.38 ± 0.15
a 0.64 ± 0.06
b
1Different letters within the same column at the same storage temperature differ significantly (n=6; P ≤ 0.05).
83
5.4 Discussion
Studies described in Chapter 3 revealing that antibacterial effect of
405±5 nm LED against S. Typhimurium in PBS prompted me to design this
study to determine the effectiveness of LED illumination on inactivation of
Salmonella on fresh-cut papaya at different storage temperatures. Its effect on
fruit quality, cellular lipid peroxidation, and DNA oxidation were also
quantified. Different storage conditions at 4, 10, and 20 °C were selected to
simulate the ideal refrigeration temperature, temperature fluctuation in retail
stores, and room temperature in tropical countries or in summer.
Four Salmonella serotypes inoculated on the surface of fresh-cut fruits
were inactivated or their growth was greatly inhibited during the 405±5 nm
LED illumination at 4 and 10 °C, whereas the effectiveness of LED
illumination was not apparent at 20 °C. Similar to these results, a previous
study demonstrated that S. Typhimurium in TSB was more sensitive to 461
nm LED at 10 and 15 °C than at 20 °C (Ghate et al., 2013). Inactivation of
Salmonella by LED illumination at refrigeration temperatures might be due to
inhibition of its oxidative stress response, enzymatically removing ROS
(Beales, 2004). Another possible explanation could be a decrease in the
capacity to transport solutes into cells by altering membrane fluidity of the
lipid bilayer at lower temperatures, consequently inhibiting energy yield
metabolism, which could make cells more sensitive to LED illumination
(Beales, 2004). Unlike behavior at refrigeration temperatures, LED-
illuminated Salmonella cells as well as non-illuminated cells rapidly grew on
the fruit surface at 20 °C, although LED illumination initially delayed growth
of the pathogen on cut fruits. This indicates that LED-illuminated cells likely
84
require an acclimatization period to new environments such as LED
illumination (Dickson et al., 1992). Once illuminated cells adapt to the
conditions, their growth rate might be similar to that of non-illuminated cells.
Based on the results obtained in this study, storage temperature plays an
important role in controlling Salmonella on fresh-cut fruit during 405±5 nm
LED illumination. In contrast, Ghate et al. (2016) reported that the
antibacterial efficacy of 460 nm LED on Salmonella cells in orange juice was
enhanced at higher temperatures, indicating that the type of food matrix might
be another factor influencing its antibacterial efficacy.
It is known that the antibacterial mechanism of blue LEDs is due to the
generation of ROS by the reaction of light, endogenous porphyrin compounds,
and oxygen. Thus, it is hypothesized that ROS may oxidize guanine residues
in genomic DNA and fatty acids in bacterial membranes, resulting in the
production of oxidized derivatives such as 8-OHdG and MDA, respectively
(Joshi et al., 2011; Sies and Menck, 1992). To test this hypothesis, the degrees
of oxidative damage to Salmonella cell membrane lipids and DNA were
measured by analyzing MDA and 8-OHdG contents in S. Agona and S.
Typhimurium. Results show there was no lipid peroxidation in serotype after
LED illumination, whereas LED illumination significantly increased levels of
8-OHdG compared to non-illuminated cells. Similarly, Hamano et al. (2007)
reported that oxidative DNA damage in S. Typhimurium occurred after
illumination with 365 nm LED. Another study has shown that illumination at
407 nm with cationic terta-meso (N-methylpyridyl) porphine resulted in
genomic DNA damage to E. coli (Salmon-Divon et al., 2004). Contrary to the
findings in this chapter, a previous study demonstrated phospholipid oxidation
85
in E. coli and Staphylococcus warneri illuminated with light wavelengths
between 380–700 nm in the presence of a tricationic porphyrin derivative for
90 min (21.6 J/cm2) in PBS (Alves et al., 2013). This discrepancy in lipid
peroxidation findings between present and previous studies might be
explained by the presence of an exogenous photosensitizer.
It is well established that different cellular components may be targeted
by ROS based on the cellular localization of the photosensitizer (Alves et al.,
2014). It is speculated that the cell wall is a major target of ROS generated
from exogenous photosensitizers when they bind to the cell membrane (Alves
et al., 2014). Protoporphyrin IX produced by the addition of 5-ALA, for
example, which has a higher affinity for bacterial membrane phospholipids,
could cause damage to cell membranes by ROS generated from the
photosensitizer (Alves et al., 2014). By contrast, the lack of lipid peroxidation
observed in the present study might be attributed to the small amount of
intracellularly generated ROS from low levels of endogenous porphyrin
compounds in Salmonella cells by LED illumination (Kumar et al., 2015).
Thus, the amount of ROS might be insufficient to oxidize lipids generally
located in membranes after attacking DNA molecules adjacent to porphyrin
compounds in the cytoplasm. However, the results reported in Chapter 3 show
that LED illumination increases membrane permeability under similar
conditions to those reported herein. Thus, further research is necessary to
elucidate the detailed antibacterial mechanism of 405±5 nm LED illumination
at both molecular and physiological levels.
The impact of 405±5 nm LED illumination on quality of cut papaya was
evaluated, as physicochemical and nutritional quality parameters such as
86
colour and ascorbic acid are known to be sensitive to light. Results show that
all quality parameters tested in this study were well preserved during LED
illumination. Moreover, LED illumination had a positive effect on the total
flavonoid content in cut papaya at 4 and 20 °C. Similar to the present results,
Hong et al. (2015) reported that 440 nm LED illumination resulted in higher
contents of flavonoid and β-carotene in various plants and fruits compared to
contents of controls stored in the dark. Another study showed a positive effect
of blue light on Chinese bayberry, resulting in accumulation of anthocyanin
compared to non-illuminated controls (Shi et al., 2014). These positive effects
of LEDs on fruit quality might be attributable to the stimulation effect of light
on the production of primary and secondary metabolites, which are involved in
defense against ROS generated during LED illumination (Darko et al., 2014).
In contrast, mature green tomatoes had lower lycopene content during
blue LED illumination for 7 days compared to red LED- and non-illuminated
fruits, but after blue light illumination, tomatoes gradually changed in colour,
ripened, and accumulated lycopene during storage, revealing inhibition of the
ripening process and consequently a long-term shelf life (Dhakal and Baek,
2014). Overall, these data indicate that the effects of LEDs on quality vary by
fruit and ripening conditions. However, detailed mechanisms affecting
nutritional quality of fruits as affected by LEDs have yet to be established.
5.5 Conclusions
This is the first study to evaluate the efficacy of 405±5 nm LED in
controlling Salmonella on fresh-cut papaya at different storage temperatures.
Results demonstrated that LED illumination inactivates Salmonella cells on
87
cut fruits at refrigeration temperatures, but was not effective at room
temperature. These findings confirmed that bacterial genomic DNA is
oxidized by R0S generated from LED illumination, partially contributing to
inactivation of Salmonella cell, while cell membrane lipid peroxidation is
unlikely to occur. Furthermore, LED illumination did not negatively impact on
the physicochemical and nutritional qualities of cut papaya, regardless of
storage temperature. Thus, this study proposes that 405±5 nm LED, combined
with refrigeration conditions, can be useful to control Salmonella on fresh-cut
fruits without any deterioration, helping to reduce the risk of salmonellosis.
88
Chapter 6
Antibacterial effect of 405 ±5 nm light emitting diode
illumination against Escherichia coli O157:H7, Listeria
monocytogenes, and Salmonella on the surface of fresh-cut
mango and its influence on fruit quality
6.1 Introduction
Concerns about bacterial contamination in fresh-cut fruits have greatly
increased since fresh-cut fruits became popular because there is no treatment
to effectively eliminate bacteria in fresh-cut fruit processing. Numerous
salmonellosis have been recently associated with consumption of fresh fruits
such as cantaloupe and watermelon. For example, a Salmonella Newport
outbreak in RTE cut watermelons was reported in the United Kingdom (UK)
in 2012 (Byrne et al., 2014). Whole cantaloupes were also linked to a L.
monocytogenes outbreak, resulting in 146 illnesses and 32 deaths in the US in
2011 (CDC, 2012). In addition, a total of 127 confirmed cases of infection
with S. Braenderup and 33 hospitalizations were linked to imported mangoes
in 15 states of US in 2012 (CDC, 2012). Therefore, fresh fruits can be a
vehicle for pathogenic bacteria, resulting in potentially hazardous foods to
humans.
89
Although several studies have been published describing the efficacy of
LED in inactivating pathogenic bacteria on fresh produce by adding
exogenous photosensitizers (Luksienė and Paskeviciute, 2011), to my
knowledge, little work has been done on the efficacy of LED alone against
foodborne pathogens on cut fruits and its impact on fruit quality. Thus, the aim
of this study was to evaluate the effectiveness of 405±5 nm LED illumination
on E. coli O157:H7, L. monocytogenes, and Salmonella spp. on fresh-cut
mango during storage at different temperatures and to investigate changes in
physicochemical and nutritional qualities of fresh-cut mangos after long-term
LED illumination.
6.2 Materials and methods
6.2.1 Bacterial strains and culture conditions
Three strains of E. coli O157:H7 (ATCC 35150, C7927, and F12), 3
serotypes of L. monocytogenes (1/2a ATCC BAA-679, 1/2b ATCC BAA-839,
and 4b ATCC 13932), and 5 serotypes of Salmonella (S. Agona ATCC BAA-
707, S. Newport ATCC 6962, S. Saintpaul ATCC 9712, S. Tennessee ATCC
10722, and S. Typhimurium ATCC 14028) were used in this study. Two E.
coli O157:H7 strains (C7927 and F12) were obtained from Dr Kun-Ho Seo of
Konkuk University in Republic of Korea. All cultures were adapted to 200
μg/mL of nalidixic acid by adding step-by-step incremental concentrations of
nalidixic acid after a transfer of each culture in order to isolate inoculated cells
from naturally existing microbiota in fresh-cut mangoes. The working culture
is described in Chapter 5.2.1.
90
6.2.2 LED illumination system
Detailed information for the illumination system is described in Chapter
3.2.2. The irradiance of 405±5 nm LED at the fruit surface (20±2 mW/cm2
was measured that using a Compact Power and Energy Meter Console. Two
fresh-cut mango samples in a sterile Petri dish (60 mm diameter) were placed
in the LED system at a distance of 4.5 cm to illuminate the entire fruit
samples.
6.2.3 Preparation of mango and inoculation
Fresh mangoes (Mangifera indica) were purchased from a local
supermarket in Singapore. For each trial, mangoes were washed with tap
water, sanitized by spraying with 70% ethanol solution, rinsed three times
with sterile deionized water, and finally dried with Kimwipe. The dried
mangoes were peeled and cut into ca. 10 g of each piece with half-moon shape
(60 mm diameter).
Each cocktail culture of E. coli O157:H7, L. monocytogenes, or
Salmonella was prepared by combining equal portions of each strain or
serotype, centrifuging at 6,000 × g for 10 min at 4 °C and washing twice with
PBS. The cocktail (ca. 109 CFU/mL) was serially diluted in PBS and a 10-µL
aliquot (ca. 105 CFU/mL) was inoculated at 10 sites on the surface of mangoes
to give concentration of ca. 103 CFU/cm
2. The inoculated mangoes were dried
for 30 min in a biosafety cabinet and individually packed with cling wrap to
simulate the conditions found in retail stores.
91
6.2.4 LED illumination
Petri dishes, each containing two inoculated or uninoculated mangoes,
were placed in the LED illumination system and were exposed to 405±5 nm
LED, for 24–48 h (a total dose of 1.7–3.5 kJ/cm2) in an incubator at 4, 10, or
20 °C. LED-illuminated and non-illuminated fruits were taken at selected time
intervals and analyzed as described in Chapter 5.2.5.
6.2.5 Modified Weibull model for bacterial inactivation kinetics
The modified Weibull model is described in Chapter 3.2.5.
6.2.6 Firmness analysis
Firmness of illuminated or non-illuminated mangoes was analyzed as
described in Chapter 5.2.9.
6.2.7 Colour analysis
Colour of illuminated and non-illuminated mangoes was measured as
described in Chapter 5.2.8. The values of L*and b
* were used to calculate the
yellow index (YI) using the following equation (Anyasi, Jideani, and Mchau,
2014).
(6.1)
YI is useful to quantify the effects of degradation processes such as
exposure to light (Anyasi, Jideani, and Mchau, 2014).
92
6.2.8 DPPH assay
Detailed procedures for monitoring change in antioxidant capacity of
fresh-cut mangoes are described in Chapter 5.2.10.
6.2.9 Total flavonoid content
Detailed procedures for measuring total flavonoid content are described
in Chapter 5.2.11.
6.2.10 Ascorbic acid content
Detailed procedures for measuring ascorbic acid content are described
in Chapter 5.2.12.
6.2.11 β-carotene content
Detailed procedures for measuring β-carotene content are described in
Chapter 5.2.13.
6.2.12 Statistical analysis
Procedures for statistical analysis are described in Chapter 3.2.10.
6.3 Results
Because 405±5 nm LED illumination could possibly have a heating
effect, the surface temperature of fresh-cut mango was monitored for 8 h at 1-
min intervals during LED illumination to select the temperature condition for
the control experiments. Temperature increased by about 3.2 °C from the
incubator set temperature within 1 h, regardless of set temperature (Figure 6–
93
1). Thus, non-illuminated control fruits were stored at 7.2, 13.2, and 23.2 °C
for set temperatures of 4, 10, and 20 °C, respectively, to eliminate the effect of
temperature difference between LED illumination and non-illumination on
inactivation or growth of test pathogens.
Figure 6-1 Temperature profile on the surface of fresh-cut mango during
405±5 nm LED illumination at set temperatures of 4, 10, and 20 °C,
respectively.
The antibacterial effect of 405±5 nm LED illumination on E. coli
O157:H7, L. monocytogenes, and Salmonella spp. on cut mango was evaluated
at set temperatures of 4 and 10 °C for 48 and 36 h, respectively (Figure 6–2
and 6–3). With the exception of L. monocytogenes on non-illuminated mango,
which significantly (P ≤ 0.05) increased to 4.1 log CFU/cm2 at a set
temperature of 10 °C, the number of viable cells on non-illuminated mangoes
remained unchanged during storage,. On the other hand, LED illumination
significantly reduced the populations of the pathogens to less than 1.6 log
CFU/cm2 for 36–48 h (a total dose of 2.6–3.5 kJ/cm
2). In particular, LED
illumination inactivated E. coli O157:H7 and Salmonella to below the
detection limit (1.0 log) after 36 h at 4 and 10 °C.
0
10
20
30
0 1 2 3 4 5 6 7 8
Te
mp
era
ture
(°C
)
Time (h)
20 °C 10 °C 4 °C
94
Figure 6-2 Survival of E. coli O157:H7 (a), L. monocytogenes (b), and
Salmonella (c) on the surface of fresh-cut mango at a set temperature of 4 °C
(actual temperature of 7.2 °C) by 405±5 nm LED illumination. Asterisk (*)
indicates significant (P ≤ 0.05) difference between LED-illuminated and non-
illuminated bacterial cell counts. Different letters (A–C or a–c)
in the same bar are
significantly (P ≤ 0.05) different one another.
At room temperature, E. coli O157:H7, L. monocytogenes, and
Salmonella grew to 4.6, 7.3, and 4.3 log CFU/cm2, respectively, on non-
illuminated mangoes within 24 h (Figure 6–4). In contrast, LED illumination
significantly (P ≤ 0.05) reduced populations of all three species, exhibiting its
different effectiveness. For example, growth of E. coli O157:H7 was
completely inhibited and the number of Salmonella cells significantly
decreased to 1.2 log CFU/cm2 during LED illumination for 24 h
a a ab ab ab b A
B*
BC* BC* C BC*
1
2
3
4
0 12 17 24 36 48
Lo
g C
FU
/cm
2
Exposure time (h)
(a)
Control 405 nm
a a a a a a A
AB
AB* B* B*
B*
1
2
3
4
0 12 17 24 36 48
Lo
g C
FU
/cm
2
Exposure time (h)
(b)
Control 405 nm
a a a a a a
A
B B
BC*
C*
C* 1
2
3
4
0 12 17 24 36 48
Lo
g C
FU
/cm
2
Exposure time (h)
(c)
Control 405 nm
95
Figure 6-3 Survival of E. coli O157:H7 (a), L. monocytogenes (b), and
Salmonella (c) on the surface of fresh-cut mango at a set temperature of 10 °C
(actual temperature of 13.2 °C) by 405±5 nm LED illumination.
(a total dose of 1 .7 kJ/cm2), whereas the population of L. monocytogenes was
inhibited during LED exposure during the first 12 h of storage, but gradually
increased to 4.6 log CFU/cm2 at the end of LED illumination.
To compare pathogen sensitivity to LED illumination, the reliable life
(tR) was calculated based on log reductions at 4 and 10 °C using scale (α) and
shape (β) parameters of the Weibull model (Table 6–1). The α value can be
a a a a a a A
B* B*
B* B*
C*
1
2
3
4
5
0 12 16 20 24 36 Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(a)
Control 405 nm
a a a
a a
b
A
B* B*
B* B* B*
1
2
3
4
5
0 12 16 20 24 36
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(b)
Control 405 nm
a a a
a a a A A
AB AB*
B*
C*
1
2
3
4
5
0 12 16 20 24 36
Su
rviv
ors
(lo
g C
FU
/cm
2)
Expsoure time (h)
(c)
Control 405 nm
96
used as a measure of bacterial resistance to LED illumination and is consistent
in the mean of the distribution accounting for bacterial inactivation time (h),
while β values indicate an efficacy on predicted inactivation rate (Bilaka et al.,
2008; see Chapters 3 and 4). At 4 °C, all three test pathogens had β values of
less than 1, which means a higher inactivation rate at a lower dose of LED
illumination. Salmonella had a significantly higher β value of 2.1 at 10 °C
compared to values for other pathogens, indicating that the rate of inactivation
increased with increasing light dose (Bilaka et al., 2008; see Chapters 3 and 4).
Figure 6-4 Survival of E. coli O157:H7 (a), L. monocytogenes (b), and
Salmonella (c) on the surface of fresh-cut mango at a set temperature of 20 °C
(actual temperature of 23.2 °C) by 405±5 nm LED illumination.
a a a a
a
b
A A A A A*
A*
1
3
5
7
0 3 6 9 12 24 Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(a)
Control 405 nm
a a a
ab
ab
b
A A A* A*
A*
B*
1
3
5
7
0 3 6 9 12 24 Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(b)
Control 405 nm
a a a a a
b
A B*
BC* C*
C* C*
1
3
5
7
0 3 6 9 12 24 Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm
97
Table 6-1 Comparison of the tR-values1 of E. coli O157:H7, L. monocytogenes, and Salmonella by 405±5 nm LED illumination at refrigeration
temperatures using Weibull model parameters1.
Temperature Species α (h) β t R (h) R2
4 °C E. coli O157:H7 1.36±0.37aA
0.38±0.25aA
6.85±5.94aA
0.95±0.03
L. monocytogenes 1.92±1.50aA
0.46±0.12aA
10.02±6.23aA
0.94±0.05
Salmonella 3.65±2.43aA
0.64±0.23aA
12.54±4.24aA
0.96±0.04
10 °C E. coli O157:H7 4.46±1.25aA
0.69±0.12aA
14.85±1.48aA
0.91±0.07
L. monocytogenes 4.61±2.72aA
0.79±0.25aA
13.21±3.58aA
0.96±0.03
Salmonella 17.24±1.84bB
2.10±0.11bB
25.63±2.36bB
0.95±0.05
1Lowercase letters
(a–b) in the same column at the same temperature and uppercase letters
(A–B) within the same species in the same column differ
significantly (n=6; P ≤ 0.05).
98
Salmonella also had the highest α and tR values at 10 °C among the three
pathogens. The three pathogens showed statistically similar (P > 0.05)
sensitivities to LED illumination at 4 °C based on the tR values, although the
mean tR value for E. coli O157:H7 was lower. In contrast, the tR value for
Salmonella at 10 °C was 1.7–1.9 times higher than values for E. coli O157:H7
and L. monocytogenes, indicating that Salmonella was the most resistant
pathogen to 405±5 nm LED illumination under temperature abuse conditions.
However, the number of surviving Salmonella cells was similar to that of E.
coli O157:H7 and L. monocytogenes at the end of illumination (Figure 6–3).
To determine the impact of long-term LED illumination on
physicochemical and nutritional qualities of cut mangoes, colour, texture,
antioxidant capacity, and ascorbic acid, β-carotene, and flavonoid contents
were determined. No significant (P > 0.05) difference in yellow index (YI)
was observed between non-illuminated and illuminated fruits stored for 24–48
h, regardless of storage temperature, although the mean YI values of
illuminated mangoes were slightly lower than those of non-illuminated
mangoes (Figure 6–5).
99
Figure 6-5 Comparison of yellowness index (YI) between 405±5 nm LED
illuminated and non-illuminated mangoes at set temperatures of 4 °C (a), 10
°C (b), and 20 °C (c). A letter (a)
in the same bar did not differ significantly
(n=6; P ≥ 0.05).
Similarly, LED illumination at all temperatures did not significantly (P
> 0.05) influence firmness (N) of cut mangoes (Figure 6–6). However,
firmness of both non-illuminated and illuminated mangoes significantly (P ≤
0.05) decreased after storage compared to firmness of fresh-cut mango at 0 h,
probably due to ripening and cut processing. For nutritional qualities, results
show no significant (P > 0.05) differences in levels of ascorbic acid, β-
carotene, and flavonoid between non-illuminated and illuminated cut mangoes
at all storage temperatures (Table 6–2).
a a
a a
0
50
100
0 48 Y
I
Exposure time (h)
(a)
Control 405 nm
a a a a
0
50
100
0 36
YI
Exposure time (h)
(b)
Control 405 nm
a a a a
0
50
100
0 24
YI
Exposure time (h)
(c)
Control 405 nm
100
Figure 6-6 Change in firmness (N) of fresh-cut mango by 405±5 nm LED
illumination at set temperatures of 4 °C (a), 10 °C (b), and 20 °C (c).
a
b
a
b
0
1
2
3
0 48 F
irm
nes
s (
N)
Exposure time (h)
(a)
Control 405 nm
a
b
a
b
0
1
2
3
0 36
Fir
mn
es
s (
N)
Exposure time (h)
(b)
Control 405 nm
a
b
a
b
0
1
2
3
0 24
Fir
mn
es
s (
N)
Exposure time (h)
(c)
Control 405 nm
101
Table 6-2 Effect of 405±5 nm LED illumination on antioxidant capacity1 and
ascorbic acid, β-carotene, and flavonoid contents1 of fresh-cut mangoes stored
at different temperatures.
Quality parameters
Storage
temperature
Control (0 h)
mango
Non-
illuminated
mango
LED
illuminated
mango
Antioxidant
activity
(mg TE/100 g FW)
4 °C 75.75±12.04a 78.84±6.02
a 79.00±15.12
a
10 °C 79.21±13.22a 96.58±16.83
a 90.74±26.56
a
20 °C 74.91±10.78a 77.88±13.30
a 82.39±11.51
a
Ascorbic acid
(mg/100g FW)
4 °C 10.65±1.59a 7.87±2.11
a 7.74±2.98
a
10 °C 10.65±1.59a 8.26±3.93
a 7.97±2.50
a
20 °C 10.65±1.59a 9.11±2.09
a 9.28±1.64
a
β-carotene
(mg/100 g FW)
4 °C 0.79±0.14a 0.58±0.16
a 0.61±0.11
a
10 °C 0.96±0.25a 0.96±0.25
a 0.77±0.26
a
20 °C 0.79±0.14a 0.57±0.19
a 0.56±0.14
a
Flavonoid
(mg QE/100 g FW)
4 °C 9.00±1.32a 11.46±3.06
a 10.94±3.89
a
10 °C 7.62±1.07a 8.77±3.35
a 7.67±1.16
a
20 °C 9.00±1.82a 9.71±3.16
a 10.58±1.44
a
1A letter
(a) in a row at same storage temperature did not differ significantly
(n=6; P > 0.05).
6.4 Discussion
LED illumination at 405±5 nm has recently been demonstrated to have
an antibacterial effect against various foodborne pathogens in the absence of
exogenous photosensitizers in PBS (Kumar et al., 2015; see Chapters 3 and 4).
To validate the effectiveness of LED illumination on the preservation of fresh-
cut fruits, E. coli O157:H7, L. monocytogenes, and Salmonella on the surface
of fresh-cut mango were illuminated at different storage temperatures of 4, 10,
and 20 °C which simulated ideal refrigeration, temperature abuse in a retail
store, and room temperature conditions, respectively.
102
Results show that 405±5 nm LED illumination at refrigeration
temperatures can inactivate three foodborne pathogens tested in this study. On
the other hand, except for Salmonella, only growth inhibition or delay was
observed at room temperature during LED illumination, indicating that the
effect of LED illumination was highly species dependent. Similarly, a
previous study reported that 461 nm LED illumination inactivated E. coli
O157:H7, L. monocytogenes and S. Typhimurium in TSB at 10 and 15 °C, but
only inhibited growth at 20 °C (Ghate et al., 2013). These results indicate that
the antibacterial effect of blue LED is enhanced at lower temperatures. This
may be associated with an inability to transport sugars inside cells by changing
fluidity of the bacterial lipid membrane at refrigeration temperatures, resulting
in a restriction of energy uptake and consequently an increase in cellular
susceptibility to LED illumination (Beales, 2004). Another possible reason
might be the inactivity of cellular defense systems such as superoxide
dismutase and catalase at lower temperatures, resulting in failure to remove
intracellular ROS (Beales, 2004).
The fruit surface pH could also affect bacterial behavior on fresh-cut
mangoes during storage. The pH of mango is to 3.8–4.2 and its major organic
acid is citric acid, resulting in its inability to support growth on non-
illuminated mangoes, depending on the storage temperatures (González-
Aguilar et al., 2000; Ma et al., 2016). The lower pH of mango could have a
synergistic effect on bacterial inactivation by LED illumination at refrigeration
conditions. Ghate et al. (2015a; 2015b) reported that E. coli O157:H7, L.
monocytogenes, and S. Typhimurium were more sensitive to 460 nm LED
illumination in TSB when applied at a pH of 4.5 or citric acid, than sensitive at
103
pH 7.3 and 15 °C. Similar to the present results, a previous study demonstrated
that 460 nm LED illumination was more efficacious in inactivating Salmonella
in orange juice containing citric acid as a primary organic acid at room
temperature than at refrigeration temperatures (Ghate et al., 2016). Thus, pH
of the food matrix may be another critical factor affecting the efficacy of blue
LED illumination in preserving cut fruit.
In this study, L. monocytogenes grew on the surface of non-illuminated
and illuminated mangoes, while only Salmonella and E. coli O157:H7 cells
grew on non-illuminated mangoes during storage at 20 °C. This is because
Gram-negative bacteria (pH range, 4.5–9.0) are generally more sensitive to
low pH of food matrices than are Gram-positive bacteria (pH range, 4.0–8.5)
(Ray and Bhunia, 2013). Illuminated L. monocytogenes cells also could have
adapted to acidic conditions and grow on mangoes during LED illumination at
room temperature, although LED illumination caused longer lag time to L.
monocytogenes cells. Unlike bacterial behavior at 20 °C during LED
illumination, with the exception of Salmonella at 10 °C, which was more
resistant to LED illumination compared to E. coli O157:H7 and L.
monocytogenes, there was no significant difference in the bacterial sensitivity
to 405±5 nm LED illumination among the three species at two chilling
temperatures. The findings in Chapter 3 demonstrate that S. Typhimurium was
more susceptible to LED illumination than was E. coli O157:H7 in PBS at 4
°C. Ghate et al. (2013) reported a difference in the sensitivity of pathogens to
461 nm LED in TSB, revealing that L. monocytogenes was more sensitive than
E. coli O157:H7 to 461 nm LED at 10 °C, but there was no difference between
L. monocytogenes and S. Typhimurium. The other studies conducted by Ghate
104
et al. (2015a; 2015b) demonstrated that L. monocytogenes was more sensitive
than E. coli O157:H7 and S. Typhimurium to blue LED illumination at pH 4.5
(adjusted by HCl) at 15 °C, whereas the susceptibility to the same LED
illumination at pH 4.5 (adjusted by citric, lactic and malic acids) was affected
by the type of organic acid. These discrepant results could be due to a
difference in LED illumination conditions, such as temperature, light
wavelength, acidulant, and food matrix, indicating that cell susceptibility to
LED illumination might be influenced by these parameters.
Changes in physicochemical and nutritional qualities of fresh-cut
mangoes caused by LED illumination were also determined since some of
quality parameters, e.g., ascorbic acid and β-carotene contents are sensitive to
light. In this study, 405±5 nm LED illumination preserved firmness and colour
as well as antioxidant capacity and ascorbic acid, β-carotene, and flavonoid
contents of mangoes compared to non-illuminated control fruits, indicating
that the long-term illumination of LED did not influence these qualities.
Unlike the present results, improvement of firmness of whole and fresh-cut
mangoes treated with UV-C and pulsed light, respectively, compared to non-
irradiated control samples due to higher levels of polyamines contributing to
firmness retention after these treatments has been reported (Charles et al.,
2013; González-Aguilar et al., 2007a). Another study conducted by Hong et
al. (2015) showed that exposure of diverse fruits to light (440 nm) had a more
positive effect on flavonoid and β-carotene content compared to controls held
in the dark. Different results in the present study and previous studies could be
due to different storage periods. For example, fruit qualities of mangoes, such
as firmness, antioxidant capacity, and flavonoid, were not changed
105
immediately after the treatment of UV-C or pulsed light, but significant
changes were observed after storage at 3 days (Charles et al., 2013; González-
Aguilar et al., 2007a; 2007b). On the other hand, mature green tomatoes
treated with blue light illumination for 7 days had a lower amount of lycopene
than that in non-illuminated controls; however, the tomatoes after illumination
of tomatoes resulted in accumulation of lycopene and colour, and affected
ripening during storage (Dhakal and Baek, 2014). Thus, blue light illumination
may inhibit the ripening process of the tomatoes and consequently extend the
shelf life. Because of these advantages, use of light technology for RTE
applications is of special interest, but detailed mechanisms related to changes
in nutritional qualities of fruits is still unknown.
6.5 Conclusions
405±5 nm LED illumination effectively inactivated 97–99 % of E. coli
O157:H7, L. monocytogenes, and Salmonella spp. on the fresh-cut mango
surface at refrigeration temperatures, but was less effective to L.
monocytogenes and E. coli O157:H7 at room temperature. Furthermore,
quality parameters of cut mangoes were not influenced by long-term LED
illumination, regardless of storage temperature. Thus, this study demonstrates
the potential of 405±5 nm LEDs to be applied at low temperatures to control
foodborne pathogens on fresh-cut mangoes without deterioration in retail
stores and to the fresh produce industry in general as a novel food preservation
technology.
106
Chapter 7
Photodynamic inactivation of Salmonella enterica Serovar
Enteritidis by 405±5 nm LED and its application to control
salmonellosis on cooked chicken
7.1 Introduction
Salmonellosis results in 10 million cases of infection and 100,000
deaths every year worldwide according to the World Health Organization
(WH0, 2013). The MOH in Singapore reported 394 laboratory-confirmed
cases caused by Salmonella Enteritidis as the predominant serotype out of
1,883 cases of salmonellosis in 2014 (MOH, 2015). In the US, a total of 3,553
illnesses and 623 hospitalizations from 149 outbreaks of salmonellosis were
reported by the CDC in 2013, revealing that S. Enteritidis were also identified
as the major causative serotype (CDC, 2015). Chicken contaminated with
Salmonella is listed as number one in the top five pathogen-food category
associated with infections and hospitalizations in the US (CDC, 2015). Thus,
raw chicken is responsible for the transmission of salmonellosis in various
foodborne outbreaks, probably due to inadequate cooking of RTE chicken or
cross-contamination from preparation area to cooked meat, resulting in
increased risk of salmonellosis (Yang et al., 2016).
107
Although some previous studies have shown that the antibacterial effect
of LED might be species dependent, to the best of my knowledge, no study
has been performed to investigate the effectiveness of 405±5 nm LED
illumination on S. Enteritidis at the strain level. Furthermore, studies to
determine if ROS generated during 405±5 nm LED illumination causes
damage related to the metabolism of cellular components have not been
reported. Thus, the objective of this study was to evaluate the antibacterial
efficacy of 405±5 nm LED illumination against three different strains of S.
Enteritidis in PBS and on the surface of cooked chicken at different
temperatures as well as to elucidate its antibacterial mechanism by
determining damage to DNA, RNA, protein, and cell wall metabolism.
7.2 Materials and methods
7.2.1 Bacterial strains and culture conditions
Salmonella enterica Enteritidis 124 (SE 124; phage type 8: Maryland
Department of Health and Mental Hygiene, MD, USA), S. Enteritidis 125 (SE
125; phage type 13A; U.S. Department of Agriculture, WA, USA), and S.
Enteritidis 130 (SE 130; phage type 2; CDC, NY, USA) obtained from Dr.
Kun-Ho Seo of Konkuk University in Republic of Korea were used in this
study. Strains were preserved on porous beads in cryoinstant vials (DeltaLab,
Barcelona, Spain) at –70 °C. A working culture was prepared as described in
Chapter 3.2.1.
108
7.2.2 LED system and illumination
Detailed information for LED characteristics and the illumination
system is described in Chapters 3.2.2. and 3.2.3., respectively. The irradiance
of 405±5 nm LED at the surface of cell suspensions and cooked chicken was
16.5±1.5 and 22.0±1.1 mW/cm2, respectively, which was measured with a
Compact Power and Energy Meter Console. To illuminate the entire bacterial
suspension (Figure 7–1a) and cooked chicken (Figure 7–1b), 10 mL of cell
suspension in a sterile Petri dish (60 mm diameter) and two cooked chicken
samples in a sterile Petri dish (90 mm diameter) were placed directly in the
LED illumination system at distances of 3.5 cm and 4 cm, respectively.
Figure 7-1 Schematic diagrams of a 405±5 nm LED illumination system.
7.2.3 LED illumination of cell suspension
Ten milliliters of cell suspension (approximately 106 CFU/mL of PBS),
as previously described, was placed in the LED illumination system at 4 and
20 °C for 7.5 h (a total dose of 0.45 kJ/cm2) in the incubator. Non-illuminated
control samples were placed in an incubator without LED illumination (dark
condition). A 0.1-mL aliquot was taken after every 1.5 h (0.09 kJ/cm2) and
analyzed as described in Chapter 3.2.4.
(a) (b)
109
7.2.4 Preparation of cooked chicken and inoculation
Raw chicken breast meat was purchased from a local supermarket in
Singapore. Chickens were cut into approximately 17-g slices (4 × 4 cm),
cooked at 121 °C for 20 min using a HG-50 autoclave (Hirayama
Manufacturing Co., Saitama, Japan), and processed within one day (Oscar,
2002). After cooking, the weight of chicken slices (3 x 3 cm) was
approximately 10 g. A 20-µL aliquot of cell suspension (ca. 105 CFU/mL), as
previously described, was spot-inoculated at five sites on the surface of
cooked chicken to reach a final concentration of ca. 104 CFU/cm
2, dried for 30
min in a biosafety cabinet, and individually wrapped in a thin cling wrap to
minimize a loss of moisture during storage.
7.2.5 LED illumination on cooked chicken
Two inoculated samples were placed in the LED illumination system at
the set temperatures of 4, 10, and 20 °C in an incubator for 20–48 h (a total
dose of 1.58–3.80 kJ/cm2). Non-illuminated control cooked chicken samples
were placed in the incubator without LED illumination (dark condition).
Inoculated non-illuminated and illuminated cooked chicken samples were
withdrawn at specific time intervals and analyzed as described in Chapter
5.2.5.
7.2.6 Cell injury
To determine possible sub-lethal injury of S. Enteritidis cells on the
surface of cooked chicken treated with LED illumination, non-illuminated and
110
illuminated cells were plated on TSA as a non-selective agar and xylose lysine
desoxycholate (XLD; Oxoid) as a selective agar where only healthy and intact
S. Enteritidis cells can grow. After incubation at 37 °C for 24–48 h, the
number of colonies was enumerated and the percentage of bacterial injury was
calculated with the following equation (Ghate et al., 2016).
Injury % 1 - Colonies on LD
Colonies on TSA × 100 (7.1)
7.2.7 Cellular damage in S. Enteritidis cells caused by LED illumination
To investigate sites of cellular damage in S. Enteritidis caused by 405±5
nm LED illumination, four antibiotics including ampicillin (Sigma-Aldrich)
for cell wall inhibition, chloramphenicol (Sigma-Aldrich) for inhibition of
protein synthesis (50S ribosome), nalidixic acid (Sigma-Aldrich) for inhibition
of DNA, and rifampicin (Sigma-Aldrich) for inhibition of RNA (RNA
polymerase) were used as metabolic inhibitors (Kohanski et al., 2010; Ha and
Kang, 2015). Non-illuminated and illuminated S. Enteritidis 130 cells on the
surface of cooked chicken at a set temperature of 4 °C for 22 h (a total dose of
1.74 kJ/cm2) were prepared. Sites of cellular damage were determined by
comparing the difference in the number of surviving cells grown on TSA as a
non-selective agar and TSA supplemented with various concentrations of each
antibiotic as a selective agar. The concentrations of ampicillin,
chloramphenicol, nalidixic acid, and rifampicin were 1.5, 3.0, 2.0, and 4.0
μg/mL, respectively. Preliminary experiments showed that the concentrations
were identified as the maximum non-inhibitory concentration for healthy and
intact cells in the stationary phase which do not inhibit cell growth on the
111
plates (data not shown). After incubation at 37 °C for 24–48 h the number of
colonies was counted and the percent of cells metabolically inhibited was
calculated using the following equation.
Metabolic inhibition % 1 - Colonies on TSA with an antibiotic
Colonies on TSA × 100 (7.2)
7.2.8 Statistical analysis
The procedures for statistical analysis are described in Chapter 3.2.10.
7.3 Results
7.3.1 Temperature change of PBS and cooked chicken surface during
illumination
Because of heat generated during 405±5 nm LED illumination, the
temperature for holding chicken in the non-illuminated control experiment
was determined. Temperatures of cell suspension in PBS and cooked chicken
surface were examined at 1-min intervals for 6–8 h. The temperatures of cell
suspensions and the cooked chicken surface increased by approximately 2.5
°C and 4.5 °C, respectively, within 1 h during LED illumination, regardless of
the set temperature (data not shown). The difference in temperature elevation
in PBS and on the cooked chicken surface might be due to different intensities
of LEDs that were generated by one or two resistors, revealing that higher
LED intensity (for chicken) resulted in a higher temperature. Thus, non-
illuminated control cells in suspensions and on cooked chicken surface were
held at 2.5 °C and 4.5 °C higher than set temperatures, respectively, to make
up for the efficacy of temperature elevation during LED illumination.
112
7.3.2 Antibacterial effect of 405±5 nm LED illumination against S.
Enteritidis in PBS
The antibacterial effect of 405±5 nm LED illumination against three
strains of S. Enteritidis in PBS up to a final dose of 0.45 kJ/cm2 at an intensity
of 16.5 mW/cm2 at set temperatures of 4 and 20 °C (actual temperatures of 6.5
and 22.5 °C) was evaluated. Results showed that populations in non-
illuminated S. Enteritidis were unchanged at set temperatures of 4 and 20 °C
for 7.5 h, while LED-illuminated cells were reduced by approximately 1.3,
1.4, and 2.1 log CFU/mL for S. Enteritidis 124, 125, and 130, respectively, at a
total dose of 0.45 kJ/cm2, regardless of set temperature (Figure 7–2).
To compare cell sensitivity to 405±5 nm LED illumination at set
temperatures of 4 and 20 °C, D-values were calculated using the linear portion
of inactivation curves. No significant (P > 0.05) difference in D-values at two
illumination temperatures was observed, while D-values were significantly (P
≤ 0.05) different in bacterial strains, achieving approximately 0.23, 0.31, and
0.34 kJ/cm2 as D-values for S. Enteritidis 130, 125, and 124, respectively,
revealing that S. Enteritidis 130 was the more sensitive strain to LED
illumination than the other strains (Table 7–1).
113
Figure 7-2 Inactivation curves for S. Enteritidis 124 (a), 125 (c), and 130 (e)
at 4 °C and S. Enteritidis 124 (b), 125 (d), and 130 (f) at 20 °C for 7.5 h (a
total dose of 0.45 kJ/cm2) in PBS. Asterisk (
*) indicates significant (P ≤ 0.05)
difference between non-illuminated control and illuminated cell counts.
* *
* *
3
4
5
6
7
0 0.1 0.2 0.3 0.4 0.5 Su
rviv
ors
(lo
g C
FU
/mL
)
Dose (kJ/cm2)
(a)
control 405 nm
* *
*
3
4
5
6
7
0 0.1 0.2 0.3 0.4 0.5 Su
rviv
ors
(lo
g C
FU
/mL
)
Dose (kJ/cm2)
(b)
control 405 nm
* *
* *
3
4
5
6
7
0 0.1 0.2 0.3 0.4 0.5 Su
rviv
ors
(lo
g C
FU
/mL
)
Dose (kJ/cm2)
(c)
control 405 nm
* *
* *
3
4
5
6
7
0 0.1 0.2 0.3 0.4 0.5 Su
rviv
ors
(lo
g C
FU
/mL
)
Dose (kJ/cm2)
(d)
control 405 nm
* *
* *
*
3
4
5
6
7
0 0.1 0.2 0.3 0.4 0.5 Su
rviv
ors
(lo
g C
FU
/mL
)
Dose (kJ/cm2)
(e)
control 405 nm
* *
* *
*
3
4
5
6
7
0 0.1 0.2 0.3 0.4 0.5 Su
rviv
ors
(lo
g C
FU
/mL
)
Dose (kJ/cm2)
(f)
control 405 nm
114
Table 7-1 Comparison of the decimal reduction dose (D-values)1 of three S.
Enteritidis strains treated with 405±5 nm LED illumination at 4 and 10 °C.
D-values (kJ/cm2)
Strains 4 °C ` 20 °C
SE124 0.34 ± 0.07aX
0.34 ± 0.05aX
SE125 0.30 ± 0.01abX
0.31 ± 0.06abX
SE130 0.23 ± 0.03bX
0.23 ± 0.01bX
1Different letters within a column
(a–b) and a row
(x) differ significantly (n=6; P
≤ 0.05).
7.3.3 Behavior of S. Enteritidis on cooked chicken surface during LED
illumination
The antibacterial efficacy of 405±5 nm LED illumination against three
S. Enteritidis strains on the surface of cooked chicken was investigated at 4,
10, and 20 °C (actual temperatures of 8.5, 14.5, and 24.5 °C), respectively, at
total doses of 1.58–3.80 kJ/cm2 (for 20–48 h) at an intensity of 22.0 mW/cm
2.
At a set temperature of 4 °C, the number of non-illuminated control cells
remained unchanged for 48 h, while populations of S. Enteritidis on cooked
chicken significantly (P ≤ 0.05) decreased by 0.5–0.6 CFU/cm2 during the first
12 h (a total dose of 0.95 kJ/cm2) during LED illumination (Figure 7–3). No
further inactivation was observed after 17 h (a total dose of 1.35 kJ/cm2).
Overall, LED illumination at 4 °C inactivated 0.8–0.9 log CFU/cm2 at a final
dose of 3.80 kJ/cm2 (for 48 h), regardless of bacterial strain.
115
Figure 7-3 The effectiveness of 405±5 nm LED illumination on survival of S.
Enteritidis 124 (a), 125 (b), and 130 (c) on the surface of cooked chicken at 4
°C.
Cells on the surface of non-illuminated cooked chicken at a set
temperature of 10 °C gradually grew to 7.0–7.3 log CFU/cm2 within 48 h,
whereas LED illumination inhibited the growth of S. Enteritidis cells until a
dose of 1.74 kJ/cm2 (for 22 h), and then slowly grew to 5.3–5.9 log CFU/cm
2
at the end of LED illumination of 3.80 kJ/cm2 (for 48 h) (Figure 7–4).
* * * * *
0.00 0.95 1.90 2.85 3.80
2
3
4
5
0 12 24 36 48
Dose (kJ/cm2)
Su
rviv
ors
(lo
g C
FU
/cm
2)
Time (h)
(a)
Control 405 nm
* * * * *
2
3
4
5
0 12 24 36 48
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(b)
Control 405 nm
* * * *
*
2
3
4
5
0 12 24 36 48
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm
116
Figure 7-4 The effectiveness of 405±5 nm LED illumination on survival of S.
Enteritidis 124 (a), 125 (b), and 130 (c) on the surface of cooked chicken at 10
°C.
Similarly, at room temperature, the number of cells on non-illuminated cooked
chicken rapidly increased to 10.2 10.4, and 9.5 log CFU/cm2 for S. Enteritidis
124, 125, and 130, respectively, for 20 h (a total dose of 1.58 kJ/cm2), while
populations of LED-illuminated cells reached to 8.7–9.0 log CFU/cm2 during
the same period of time, demonstrating that LED illumination retarded the
growth of S. Enteritidis cells on the surface of cooked chicken at set
temperatures of 10 and 20 °C, regardless of bacterial strain (Figure 7–5).
* * *
* *
0.00 0.95 1.90 2.85 3.80
2
3
4
5
6
7
8
0 12 24 36 48
Dose (kJ/cm2)
Su
rviv
ors
(lo
g C
FU
/cm
2)
Time (h)
(a)
Control 405 nm
* * *
*
*
2
3
4
5
6
7
8
0 12 24 36 48
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(b)
Control 405 nm
* * *
* *
2
3
4
5
6
7
8
0 12 24 36 48
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm
117
Figure 7-5 The effectiveness of 405±5 nm LED illumination on survival of S.
Enteritidis 124 (a), 125 (b), and 130 (c) on the surface of cooked chicken at 20
°C.
7.3.4 Injury of S. Enteritidis on cooked chicken treated with LED
illumination
To see if 405±5 nm LED illumination causes the sublethal injury of S.
Enteritidis, the percentage of injured cells was determined. Significant (P ≤
0.05) bacterial injury was observed in all S. Enteritidis strains on the surface of
cooked chicken during illumination at refrigeration temperatures (Figure 7–6
and 7–7). At 4 °C, the percentage of injured cells increased up to 65 and 68%
for S. Enteritidis 124 and 125, respectively, after LED illumination at a dose of
*
* *
* *
0.00 0.32 0.63 0.95 1.27 1.58
3
5
7
9
11
0 4 8 12 16 20
Dose (kJ/cm2)
Su
rviv
ors
(lo
g C
FU
/cm
2)
Time (h)
(a)
Control 405 nm
* *
* * *
3
5
7
9
11
0 4 8 12 16 20
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(b)
Control 405 nm
* * *
* *
3
5
7
9
11
0 4 8 12 16 20
Su
rviv
ors
(lo
g C
FU
/cm
2)
Exposure time (h)
(c)
Control 405 nm
118
Figure 7-6 Percentage of injured S. Enteritidis 124 (a), 125 (b), and 130 (c)
cells on the surface of cooked chicken at a set temperature of 4 °C.
2.85 kJ/cm2 (36 h) and 57% for S. Enteritidis 130 at the end of illumination
(48 h). At 10 °C, the maximum percentage of cell injury on illuminated
cooked chicken was 72% for S. Enteritidis 124 at the end of illumination (48
h), while similar percentages for S. Enteritidis 125 (70%) and 130 (77%) were
obtained at a dose of 2.85 kJ/cm2 (36 h). On the other hand, at room
temperature (20 °C), the number of illuminated cells that grew on both TSA
and XLD was similar for 20 h (a total dose of 1.58 kJ/cm2) (data not shown),
*
* *
* *
0
20
40
60
80
100
0 12 17 22 36 48
Inju
ry (
%)
(a)
Control 405 nm
Dose (kJ/cm2)
* *
* *
*
0
20
40
60
80
100
0 12 17 22 36 48
Inju
ry (
%)
Exposure time (h)
(b)
Control 405 nm
* * * * *
0
20
40
60
80
100
0 12 17 22 36 48
Inju
ry (
%)
Exposure time (h)
(c)
Control 405 nm
0.00 0.95 1.35 1.74 2.85 3.80
Time (h)
119
indicating that there was no significant (P > 0.05) injury, regardless of
bacterial strain.
Figure 7-7 Percentage of injured S. Enteritidis 124 (a), 125 (b), and 130 (c)
cells on the surface of cooked chicken at a set temperature of 10 °C.
7.3.5 Sites of cellular damage caused by LED illumination
To elucidate the antibacterial mechanism of 405±5 nm LED
illumination, its influence on cellular components was determined using four
types of antibiotics, namely ampicillin, chloramphenicol, nalidixic acid, and
rifampicin as specific metabolic inhibitors for cell wall, protein, DNA, and
* *
* *
*
0
20
40
60
80
100
0 12 17 22 36 48
Inju
ry (
%)
(a)
Control 405 nm
Dose (kJ/cm2)
* * *
*
*
0
20
40
60
80
100
0 12 17 22 36 48
Inju
ry (
%)
Exposure time (h)
(b) Control 405 nm
* * *
*
*
0
20
40
60
80
100
0 12 17 22 36 48
Inju
ry (
%)
Exposure time (h)
(c) Control 405 nm
Time (h)
0.00 0.95 1.35 1.74 2.85 3.80
120
RNA synthesis, respectively (Ha and Kang, 2015). If any cellular component
is damaged by LED illumination, the illuminated cells would become more
sensitive to a specific antibiotic, resulting in its incapability to grow on TSA
containing the antibiotic. Since the behavior of three S. Enteritidis strains on
the surface of cooked chicken was not significantly (P > 0.05) different after
LED illumination, S. Enteritidis 130 was selected as a model strain in this
study. The percentages of non-illuminated and illuminated cells on cooked
chicken metabolically inhibited by each antibiotic are shown in Figure 7–8.
No significant (P > 0.05) difference in the percentage of metabolic inhibition
was observed in healthy (0 h) and non-illuminated control (22 h) cells for all
antibiotics, except for rifampicin in non-illuminated cells. In contrast, LED
illumination resulted in a significant (P ≤ 0.05) increase in the percentage of
injured cells (32.5, 24.2, 30.1, and 44.1 % for ampicillin, chloramphenicol,
nalidixic acid, and rifampicin, respectively) as compared with healthy and
Figure 7-8 Changes in metabolic inhibition of S. Enteritidis 130 caused by
ampicillin (Amp), chloramphenicol (Chl), nalidixic acid (Nal), and rifampicin
(Rif), respectively, after LED illumination on the chicken surface at 4 °C for
22 h. Different letters (A–C)
within the same antibiotic differ significantly (n=6;
P ≤ 0.05).
A
A
A
A
A
A
A
B B
B
B
C
0
10
20
30
40
50
Amp Chl Nal Rif
Me
tab
oli
c in
hib
itio
n (
%)
Control
Non-illuminated cell
Illuminated cells
121
non-illuminated cells. This indicates that the antibacterial effect of 405±5 nm
LED illumination at 4 °C on cooked chicken may be due in part to multi-
damage of metabolic activities associated with DNA, RNA, protein, and cell
walls in S. Enteritidis 130 cells.
7.4 Discussion
Photodynamic inactivation (PDI) by blue LEDs has attracted the
attention of researchers to its potential application for food preservation that
could minimize foodborne diseases. However, little work has been done to
determine the antibacterial effect of 405±5 nm LED illumination without the
addition of exogenous photosensitizers in food matrices as well as its
antibacterial mechanism. Thus, the present study evaluated the efficacy of
405±5 nm LED in inactivating three strains of S. Enteritidis in PBS and on the
surface of cooked chicken. The influence of LED illumination on synthesis of
DNA, RNA, protein, or cell wall was also determined to provide insights into
its antibacterial mechanism. The antibacterial effect of 405±5 nm LED
illumination was evaluated at temperatures simulating ideal refrigeration (4
°C), temperature abuse (10 °C), and room temperature (20 °C) conditions.
Although TSB mimics a food matrix because of its high nutrient content, PBS
was used in this study to eliminate the possibility of ROS formation from
nutrients such as glucose presented in TSB which are capable of autoxidation
using transition metal compounds as catalysts during LED illumination
(Grzelak et al., 2001).
122
Results show that temperature did not influence the antibacterial
efficacy of 405±5 nm LED illumination, inactivating 95–99% of cells of three
S. Enteritidis strains in PBS at the end of illumination (Figure 7–1 and Table
7–1). In contrast, a previous study using 460 nm LED against S. Typhimurium
in TSB demonstrated greater bactericidal effect at lower temperatures of 10
and 15 °C than a 20 °C (Ghate et al., 2013). This difference in illumination
temperature on the antibacterial efficacy of LED could be due to the nature of
a medium used for LED illumination. The presence of nutrients in suspending
medium such as TSB could enhance the ability of cells to repair injury caused
by LED illumination at room temperature. On the other hand, under similar
temperature conditions, damaged cells might not easily recover in PBS due to
the nutrient deficiency.
Unlike PBS, the efficacy of LED illumination on cooked chicken was
highly dependent on illumination temperature (Figure 7–2, 7–3, and 7–4). All
S. Enteritidis strains on the surface of cooked chicken were inactivated at 4 °C,
but they slowly and rapidly grew at 10 and 20 °C, respectively, during LED
illumination, indicating that the antibacterial effect of LED illumination is
enhanced at lower temperature. This might be because the ability to transport
solutes into Salmonella cells may be limited due to changes in membrane lipid
bilayer at lower temperatures, slowing down metabolic activities such as
protein and enzyme synthesis by inhibition of energy uptake and eventually
increasing sensitivity to LED illumination (Beales, 2004). Another possible
explanation could be the failure of illuminated cells to eliminate intracellular
ROS due to a lack of defense responses, such as activity of superoxide
dismutase (SOD) and catalase, at lower temperatures (Beales, 2004). In
123
contrast, as shown for illumination at 10 and 20 °C, growth on the surface of
cooked chicken may have due to the ability of cells to adapt to new
environments, such as light exposure under temperature abuse and room
temperature conditions, respectively (Dickson et al., 1992). Furthermore, near
neutral pH (pH 6.5–6.7) of cooked chicken might help the growth of
Salmonella during LED illumination. A previous study showed that S.
Typhimurium cells were significantly inactivated at acidic pH of 4.5 in TSB
for 7.5 h (a total dose of 0.60 kJ/cm2) at 15 °C by 460 nm LED illumination,
whereas only growth inhibition was observed at pH 6.0 and 7.3 (Ghate et al.,
2015). Another study demonstrated that 460 nm LED illumination inactivated
Salmonella cells in orange juice (pH 3.3–4.2) at room temperature than did
refrigeration temperature (Ghate et al., 2016). All of these results indicate that
illumination temperature and pH of the suspending medium may be primary
factors affecting the antibacterial effect of LED illumination.
A comparison of inactivation rates of three strains of S Enteritidis in
PBS during LED illumination showed that S. Enteritidis 130 was more
sensitive to illumination than the other two strains (Table 7–1) at temperatures
of 4 and 20 °C. Differences in sensitivity to LED illumination might be due to
the differences in types and levels of endogenous porphyrins as well as levels
of gene expressions associated with oxidation, starvation, and cold stresses
(Kumar et al., 2015). Unlike PBS, there was no significant (P > 0.05)
difference in sensitivity of Salmonella to LED illumination on the surface of
cooked chicken. Moreover, the antibacterial efficacy of 405±5 nm LED on
chicken was diminished (Figure 7–3, 7–4, and 7–5) compared to that in PBS.
This might be because the proteins in chicken meat exerted a neutralizing
124
effect on ROS, resulting in decreased antibacterial activity of LED
illumination (Juneja and Sofos, 2001). Results from the present study show
that antibacterial efficacy of LED illumination may be overestimated when
buffered solution is used as a suspending medium, thus it is necessary to
validate its efficacy with various food matrices.
To determine if 405±5 nm LED illumination causes sublethal damage to
Salmonella cells on the surface of cooked chicken, the percentage of injured
cells was calculated based on difference in colony numbers between TSA
(non-selective agar) and XLD (selective agar). Lipopolysaccharides (LPS) in
the outer membrane of Gram-negative bacteria repel hydrophobic molecules
such as bile salts outside the cells, thereby serving as a permeability barrier
(Ait-Ouazzou et al., 2012; Jasson et al., 2007). Membrane-damaged
Salmonella cells are theoretically unable to grow on XLD agar containing
sodium desoxycholate of bile salt (Stersky and Hedrick, 1972). Results in the
present study show that LED illumination significantly (P ≤ 0.05) increases
the percentage of cell injury at 4 and 10 °C (Figure 7–6 and 7–7) as compared
to that of non-illuminated cells, whereas no significant (P > 0.05) injury was
observed at 20 °C. This indicates that cell membranes may be substantially
injured by LED illumination at refrigeration temperatures, while damaged cell
membranes can repair at room temperature. Similarly, sensitivity to bile salts
and sodium chloride (NaCl) increases when S. Typhimurium cells are
illuminated by 405±5 nm LED at 4 °C, indicating damage to both outer and
cytoplasmic membranes due to a loss of outer membrane integrity and osmotic
functionality. Unlike the present results when cells were illuminated at 20 °C,
the previous study conducted by Ghate et al. (2013) showed that 461 nm LED
125
illumination for 7.5 h in TSB significantly (P ≤ 0.05) increased sensitivity of
cells to NaCl at 4 and 20 °C (84 and 33%, respectively), although the
percentage of injured cells at 20 °C was much lower. These different
observations may be due to differences in the selective agent and suspending
medium.
To obtain more concrete evidence on damage of cellular components by
ROS produced during LED illumination, specific metabolic inhibitions of S.
Enteritidis 130 cells on the surface of cooked chicken at 4 °C were evaluated
using four types of antibiotics. Nalidixic acid targets DNA replication by
binding to DNA gyrase (topoisomerase II) that introduces negative
supercoiling of DNA, forming topoisomerase–DNA complexes (Kohanski et
al., 2010). These complexes are trapped at the stage of DNA cleavage and
interrupt strand rejoining, resulting in inhibition of DNA synthesis. Rifampicin
inhibits the initiation of RNA synthesis by binding to DNA–dependent RNA
polymerase, especially to a β–subunit within the DNA/RNA channel
(Campbell et al., 2001). Chloramphenicol is an inhibitor of protein synthesis
by binding to 50S ribosome, which inhibits peptidyl transferase reactions by
disrupting either the translocation of peptidyl tRNAs or initiating protein
translation (Kohanski et al., 2010). Ampicillin, known as penicillin group of β-
lactam antibiotics, binds to penicillin-binding protein (PBP) enzymes, such as
transpeptidases which are responsible for catalysis of cross-linking reactions
located on the inner cell wall (Raynor, 1997). Inhibition of PBPs causes
irregularities in the structure of the cell wall by terminating the peptide chain
linkage and inhibiting synthesis of the peptidoglycan structure, resulting in
cell lysis and death (Raynor, 1997). However, some bacteria are resistant to
126
particular antibiotics and have an ability to acquire antibiotic resistance
through manipulating chromosomal genes and bacterial efflux pumps that
actively transport antibiotics out of the cells (Blair et al, 2015). There are also
several pathways to repair antibiotic–induced damage inside bacterial cells
(Blair et al, 2015). Thus, bacterial cells might be incapable of multiplying on
the selective medium containing one of antibiotics if LED illumination
influences the metabolism of DNA, RNA, protein, or cell wall.
Results of this study show that RNA synthesis inhibition by rifampicin
occurred in illuminated and non-illuminated cells, but not healthy control
cells. The primary reason for this may be due to the effect of refrigeration
temperature (4 °C), although a synergistic effect of LED illumination at low
temperature resulted in a higher level of RNA synthesis inhibition. It is known
that RNA polymerase is sensitive to temperature change (Sawai et al., 1995),
and thus refrigeration temperature might reduce RNA polymerase activity.
Similar to the present result, Ha and Kang (2015) also reported only RNA
synthesis inhibition by rifampin when S. Typhimurium cells on sliced cheese
were treated with near-infrared heating (NIR), while NIR and ultraviolet
irradiation (NIR-UV) treatment inhibited not only RNA metabolism but also
DNA, protein, and cell wall metabolism. RNA metabolic inhibition resulting
from both treatments could be caused by temperature elevation to 74 °C within
70 s during the treatments, which implies that RNA polymerase could be
sensitive to the fluctuation either at low or high temperature.
Compared to non-illuminated cells, LED illumination additionally
caused a higher level of metabolic inhibition in the presence of nalidixic acid,
chloramphenicol, or ampicillin. This might be because ROS generated during
127
LED illumination could nonspecifically attack bacterial membrane proteins
and enzymes related to the metabolism of cellular components and antibiotic
resistance and also oxidize guanine residues in genomic DNA, producing
oxidized derivatives such as 8–hydroxydeoxyguanosine (8-OHdG) (Joshi et
al., 2011; Sies and Menck, 1992). Consequently, LED-illuminated cells might
lose their resistance to these antibiotics. For instance, Salmonella are generally
resistant to ampicillin due to its ability to produce β-lactamase in order to
hydrolyze the β-lactam ring or due to impermeability of the cell membrane
(Raynor, 1997). However, ROS generated from LED illumination may
inactivate β-lactamase or increase the membrane permeability by oxidizing
fatty acids in cell membranes, making Salmonella sensitive to ampicillin. The
results obtained from LIVE/DEAD® BacLight™ assay in PBS in Chapter 3
also confirmed the loss of cell membrane integrity caused by 405±5 nm LED
illumination, partially supporting this assumption.
7.5 Conclusions
The present study demonstrates that LED illumination effectively
reduces S. Enteritidis on the surface of cooked chicken at refrigerated
temperatures, but has no antibacterial effect under temperature abuse (10 °C)
and room temperature (20 °C) conditions. However, the antibacterial efficacy
of LED illumination on cooked chicken is greatly diminished compared to that
in PBS. S. Enteritidis 130 in PBS was identified as the most sensitive strain to
LED illumination compared to the other two strains, but no difference was
observed when the three strains were illuminated on the surface of cooked
chicken. Furthermore, multi-damage to cellular components, including DNA,
128
RNA, protein, and cell wall, by LED illumination at refrigeration temperatures
were confirmed. Thus, the present study provides new insights to better
understand the value of using 405±5 nm LED in chillers and food
establishments to control Salmonella on cooked chicken, thereby reducing the
risk of salmonellosis.
129
Chapter 8
Elucidation of antibacterial mechanism of 405±5 nm LED
against Salmonella at refrigeration temperature
8.1 Introduction
Since Salmonella cells may encounter oxidative stress by ROS during
LED illumination, it is crucial to understand their response to LED
illumination in elucidating its antibacterial mechanism. Although the
molecular response of Salmonella cells to general oxidative stress has been
well documented (Farr and Kogoma, 1991), their response to LED
illumination at the molecular level is still unknown. Furthermore, no studies
have been conducted to find whether the difference in gene regulations
influences the bacterial susceptibility to LED illumination. Therefore, the
objective of this study was to elucidate the detailed antibacterial mechanism of
405±5 nm LED illumination on Salmonella spp. by determining endogenous
coproporphyrin content, DNA oxidation, damage to membrane function,
morphological change, and regulatory gene expression level during LED
illumination under chilling conditions.
130
8.2 Materials and methods
8.2.1 Bacterial culture conditions
Eighteen Salmonella enterica strains used in this study were S. Agona
BAA-707; S. Enteritidis ATCC 13076, S. Gaminara BAA-711, S. Heidelberg
ATCC 8326, S. Montevideo BAA-710, S. Newport ATCC 6962, S. Poona
BAA-1673, S. Saintpaul ATCC 9712, S. Tennessee ATCC 10722, S.
Typhimurium ATCC 14028, S. Typhimurium ATCC 13311, S. Typhimurium
ATCC 25241, S. Typhimurium ATCC 29269, and S. Typhimurium ATCC
51812 purchased from the ATCC and S. Enteritidis 109 (phage type Group
D1; Peter Holt), S. Enteritidis 124, S. Enteritidis 125, and S. Enteritidis 130
obtained from Dr. Kun-Ho Seo of Konkuk University in Republic of Korea.
All Salmonella strains were stored at –70 °C into each cryoinstant vial. The
working culture was prepared as described in Chapter 3.2.1.
8.2.2 LED illumination system
LED illumination system was described in Chapters 3.2.2 and 3.2.3. The
bacterial suspension (10 mL volume and 1 cm depth) into a sterile Petri dish
(60 mm diameter) or streak-plated agar plate (90 mm diameter) was directly
placed below the LED bulbs at a distance of 4.5 cm to illuminate the whole
Petri dish as previously described. The irradiance (W/cm2) of a 405±5 nm
LED unit was 20±2 mW/cm2 at the bacterial suspension.
8.2.3 Sensitivity of Salmonella strains to LED illumination
To select the susceptible and the resistant Salmonella strains to LED
illumination, a 10-µL bacterial suspension of 18 Salmonella strains (ca. 106
131
CFU/mL) was pipetted and streaked in an individual line of length ca. 3 cm
using an inoculating loop onto the surface of TSA plate. The inoculated plates
were placed in the LED system as previously described and exposed to 405±5
nm LED at a set temperature of 4 °C for 4 h (a total dose of 288 J/cm2) in an
incubator. Non-illuminated control plates were also placed in an incubator in
the dark. After illumination, plates were incubated at 37 °C for 24 h and then
were visualized using a G:Box EF2 Imaging System.
8.2.4 LED illumination on bacterial suspension and enumeration
Based on the results above, a 10-mL suspension of S. Enteritidis (ATCC
13076) and S. Saintpaul at an initial population of ca. 106 CFU/mL in a sterile
Petri dish was placed in the LED illumination system, followed by exposure to
LED illumination at a set temperature of 4 °C for 8 h (a total dose of 576
J/cm2). The same amount of bacterial suspension in a sterile Petri dish was
placed in an incubator without LED illumination (dark condition) and served
as non-illuminated control. A 0.5-mL aliquot was taken at selected time
intervals and then enumerated as described in Chapter 3.2.4.
8.2.5 Analysis of intracellular coproporphyrin content
A 100-mL culture of S. Enteritidis (ATCC 13076) and S. Saintpaul at
the stationary phase in TSB was centrifuged at 6,000 × g for 10 min at 4 °C,
washed thrice with 20 mL of PBS, and finally dried at 45 °C for 2 h.
Intracellular coproporphyrin was extracted from the dried pellets with a 0.1 M
NH4OH:acetone solution (1:9, v/v). The extracts were quantified using a C-18
reversed-phase silica column and a Waters 2695 HPLC system equipped with
132
a Multi λ fluorescent detector at 407 nm excitation and 612 nm emission.
Elution was carried out with a gradient separation consisting of water (Solvent
A) and acetonitrile (Solvent B). A standard curve was prepared in the
concentration range of 0–10 μg/mL of coproporphyrin I dihydrochloride
(Sigma-Aldrich). The amount of coproporphyrin was expressed in ng
coproporphyrin/mg dried cells.
8.2.6 Analysis of cellular DNA oxidation
A 10-mL bacterial suspension (ca. 108 CFU/mL) was illuminated at a set
temperature of 4 °C for 8 h (a total dose of 576 J/cm2). The degree of cellular
DNA oxidation was measured as described in Chapter 5.2.7.
8.2.7 Determination of damage to bacterial membrane function
To investigate damage to bacterial membrane function by LED
illumination, five different fluorescent probes including SYTO®9 and PI,
ethidium bromide (EtBr; Sigma-Aldrich), bis-(1,3-dibutylbarbituric acid)
trimethine oxonol [DiBAC4(3); Molecular Probes™
], and 2-[N-(7-nitrobenz-2-
oxa-1,3-diazol-4-yl) amino]-2-deoxy-D-glucose (2-NBDG; Molecular
Probes™
) were used in this study. The cellular target sites for the five probes
are depicted in Figure 8–1. A 10-mL bacterial suspension (ca. 106 CFU/mL) of
S. Enteritidis (ATCC 13076) or S. Saintpaul was illuminated at a set
temperature of 4 °C for 8 h (a total dose of 576 J/cm2). A 0.5-mL or 1-mL
aliquot was withdrawn at 4 and 8 h (at total doses of 288 and 573 J/cm2) of
illumination. Each 200-μL aliquot was immediately stained with two mixed
probes (SYTO®
9/PI or SYTO®
9/EtBr) and three single probes (SYTO®9,
133
DiBAC4(3), and 2-NBDG). Before staining cells, 2.0 mM of 2,4-dinitrophenol
(2,4-DNP; Sigma-Aldrich) was added in 2-NBDG. The working
concentrations of SYTO®9, PI, EtBr, DiBAC4(3), and 2-NBDG were 5, 30,
30, 10, and 5 μM, respectively. The mixtures were incubated at 37 °C for 10
min for 2-NBDG or at room temperature and for 15 min for SYTO®9, PI,
EtBr, and DiBAC4(3) in the dark. The mixtures were measured using a BD
Accuri™
C6 flow cytometer
Figure 8-1 Cellular target sites for fluorescent probes. A loss of specific
membrane functions is measured with fluorescent probes equipped with flow
cytometry; efflux pump activity with EtBr; glucose uptake activity [glucose-
specific phosphoenolpyruvate-phosphotransferase system (PEP-PTS)] with 2-
NBDG; depolarization with DiBAC4(3); permeability with PI; and total counts
with SYTO®9.
(Accuri Cytometers Inc., Ann Arbor, MI, USA) equipped with a blue laser
that excites at 488 nm and 5 detectors of forward scatter (FSC), side scatter
(SSC), green fluorescent filter (FL1; 533/30 nm), orange fluorescent filter
EtBr
Efflux pump
PI
Sy
to®9
DiB
AC
4(3
)
2-NBDG
134
(FL2; 585/40 nm), red fluorescent filter (FL3; 670 nm). The detectors were set
up FL1 for SYTO®9, FL3 for PI and EtBr, and FSC and SSC for DiBAC4(3)
and 2-NBDG.
8.2.8 Transmission electron microscopy (TEM)
Ten Petri dishes containing 10-mL suspension (ca. 109 CFU/mL) of S.
Enteritidis (ATCC 13076) were individually placed in the LED system for
illumination at a set temperature of 4 °C for 10 h (a total dose of 720 J/cm2).
Ten sets of non-illuminated control cells were also stored for 10 h in the dark
condition. Bacterial suspension pooled from ten Petri dishes was centrifuged
at 6,000 × g for 10 min at 4 °C to obtain the bacterial population of ca. 1011
CFU/sample. The resultant pellet was fixed with 2.5 % (v/v) glutaraldehyde
(Sigma-Aldrich) in PBS (pH 7.4) by incubating overnight at 4 °C, washed
twice using 25 mL of PBS, and stored at 4 °C prior to TEM analysis.
Bacterial sample was post fixed in 1% osmium tetroxide (pH 7.4) for 2
h at room temperature, washed twice with distilled H2O for 10 min, and
dehydrated through an ascending ethanol series (25% ethanol for 5 min, 50%
ethanol for 10 min, 75% ethanol for 10 min, 95% ethanol for 10 min, 100%
ethanol for 10 min, and 100% acetone for 10 min) at room temperature. The
fixed sample was infiltrated with a 1:1 mixture of 100% acetone and araldite
resin (Pelco International, Redding, CA, USA) for 30 min and then infiltrated
with a 1:6 mixture of 100% acetone and araldite resin for overnight at room
temperature. The filtrated sample was placed in fresh araldite resin for 1 h at
45 °C trice, embedded in fresh araldite resin, and cured in an oven at 60 °C for
24 h. After curing, the sample was sectioned and mounted on copper grids
135
(200 mesh, Pelco International), followed by staining with Reynols’ lead
citrate (Reynol, 1963). The stained sample was examined with a JEOL JEM
1010 transmission electron microscope (JEOL Asia Ltd. Tokyo, Japan).
8.2.9 Total RNA isolation and real-time qRT-PCR
After LED illumination on S. Enteritidis (ATCC 13076) and S.
Saintpaul at a set temperature of 4 °C for 1 h, the total RNAs of illuminated
cells were isolated with a RNeasy Mini Kit (Qiagen Inc., Hilden, Germany)
according to manufacturer’s instructions. The total RNAs of fresh cultured
cells and non-illuminated cells stored at 9.5 °C without LED illumination were
also extracted by the same method. The purified RNA was dissolved in 50 μL
of RNase-free water. The purity and the concentration of extracted RNA were
determined by the BioDrop Touch Duo Spectrophotometer. The integrity of
total RNA was evaluated by 1% (w/v) agarose gel electrophoresis.
One microgram of total RNA was converted to complementary DNA (cDNA)
using a QuantiTect Reverse Transcription Kit (Qiagen Inc.) according to
manufacturer’s instructions. Real-time quantitative reverse transcription-
polymerase chain reaction (real-time qRT-PCR) was carried out with a
StepOnePlus Real-Time PCR System (Applied Biosystems, Carlsbad, CA,
USA) to determine the relative expression level of oxyR, recA, rpoS, sodA, and
soxR genes in non-illuminated or illuminated cells. All primers used in this
study were designed using a Primer Expression Software 3.0 (Applied
Biosystems) on a basis of the nucleotide sequence derived from NCBI
database (accession number NC_011294.1). 16S rRNA was used as the
reference gene and the primer sequence was obtained from Yang et al. (2014).
136
The detailed information of these target genes and primer sequences is listed
in Table 8–1. A 20-μL reaction mixture contained the following components:
10 μL of Fast SYBR Green Master Mix (Applied Biosystems), 1 μL of 0.5 μM
forward primer, 1 μL of 0.5 μM reverse primer, 1 μL of template cDNA, and 7
μL of PCR water. Thermal cycling conditions consisted of 1 cycle at 95 °C for
20 s, followed by 40 cycles at 95 °C for 3 s and 60 °C for 30 s. The absence of
DNA contamination as a negative control was confirmed by reactions without
reverse transcriptase. The changes in relative gene expression were calculated
with the 2–ΔΔCt
method (Yang et al., 2014).
Table 8-1 Gene functions and primer sequences.
Gene Functiona Primer sequence (5’ to 3’)
Size
(bp)
oxyR A regulator of hydrogen
peroxide detoxification
F:ACCCTTAGCGGGCAAATACG
R:CGTACGCTCCAGCAGCATAA
62
sodA Encoding manganese
superoxide dismutase
F:CCCTGCCGTACGCTTATGA
R:TGACATAGGTTTGATGGTGTTTGG
89
soxR A regulator of resistance
to superoxide-generating
agents
F:GGCGACGCGTTTGGTATC
R:CACTGCGAGGAGAGCTGCTT
73
recA Induction of SOS
response and repair of
DNA damage
F:TCGCCGTTGTAGCTGTACCA
R:GGTTGACCTGGGCGTGAA
65
rpoS A regulator of general
stress responses (e.g.,
carbon starvation, acid
stress, oxidative stress)
F:CCACCAGGTTGCGTATGTTG
R:CCGTGCAGTCGAGAAGTTTG
63
F, forward; R, reverse; bp, base pairs
a Function referred to Farr and Kogoma (1991)
8.2.10 Statistical analysis
Statistical analysis was described in Chapter 3.2.10.
137
8.3 Results
8.3.1 Temperature changes by LED illumination
Temperature changes of TSA and PBS during 405±5 nm LED
illumination were monitored over a 5-hour period with a 1-min interval at a set
temperature of 4 °C to determine the temperature condition for non-
illuminated control cells. LED illumination increased by approximately 4.5 °C
on the surface of TSA and PBS within 1 h (data not shown). Thus, non-
illuminated control cells were held at 9.5 °C to eliminate the difference in
temperatures between LED illumination and non-illuminated conditions.
8.3.2 Antibacterial efficacy of LED illumination against different
Salmonella strains
Eighteen Salmonella enterica strains plated onto the surface of a TSA
plate were illuminated with 405±5 nm LED for 4 h (a total dose of 288 J/cm2)
at a set temperature of 4 °C to select the susceptible and resistant Salmonella
strains. This experiment was performed in independent triplicate with
duplicate plates (n=6) and the representative photographs are presented in
Figure 8–2. The results show that S. Enteritidis (ATCC 13076) and S.
Saintpaul (ATCC 9712) were the more susceptible and resistant strains to
LED illumination, respectively, than the other strains. Thus, these two strains
were selected for further experiments.
The bacterial suspensions of S. Enteritidis and S. Saintpaul were
illuminated with 405±5 nm LED at a set temperature of 4 °C for 8 h (a total
dose of 576 J/cm2) to quantitatively evaluate the bacterial inactivation.
138
Regardless of bacterial strain, non-illuminated control cell numbers remained
unchanged for 8 h, whereas the populations of LED-illuminated S. Enteritidis
and S. Saintpaul cells were significantly (P ≤ 0.05) decreased after 2 h (Figure
8–3). The difference in bacterial inactivation between the two strains was
Figure 8-2 Antibacterial effect of 405±5 nm LED illumination against 18
Salmonella spp. for 4 h at 4 °C (actual temperature at 9.5 °C) on TSA plates;
non-illuminated Salmonella spp. (a) and LED-illuminated Salmonella spp. (b).
Lane: 1, S. Agona; 2, S. Enteritidis ATCC 13076; 3, S. Enteritidis 109; 4, S.
Enteritidis 124; 5, S. Enteritidis 125; 6, S. Enteritidis 130; 7, S. Gaminara; 8, S.
Heidelberg; 9, S. Montevideo; 10, S. Newport; 11, S. Poona; 12, S. Saintpaul;
13, S. Tennessee; 14, S. Typhimurium ATCC 14028; 15, S. Typhimurium
ATCC 13311; 16, S. Typhimurium ATCC 25241; 17, S. Typhimurium ATCC
29269; 18, S. Typhimurium ATCC 51812.
(b)
(a)
139
obvious after 4 h of illumination. The populations of S. Enteritidis and S.
Saintpaul were reduced by 2.0 and 1.0 log CFU/mL at 4 h of illumination, and
by 5.6 and 1.7 log CFU/mL at the end of illumination, respectively. Thus,
these results indicate that S. Enteritidis was more susceptible to 405±5 nm
LED illumination than S. Saintpaul.
Figure 8-3 Survival curves of S. Enteritidis ATCC 13076 (a) and S. Saintpaul
ATCC 9712 (b) during 405±5 nm LED illumination at a set temperature of 4
°C for 8 h (a total dose of 576 J/cm2) in PBS. The detection limit was 1
CFU/mL. Asterisk (*) indicates significant (P ≤ 0.05) difference between
illuminated and non-illuminated control cells.
8.3.3 Intracellular coproporphyrin contents
The amounts of intracellular coproporphyrin compounds produced in
the stationary phase S. Enteritidis and S. Saintpaul cells were quantified to
understand the different inactivation patterns between the two strains. The
total amounts of the coproporphyrin in S. Enteritidis and S. Saintpaul were
61.1 and 46.5 ng/mg, exhibiting no significant (P > 0.05) difference between
the two strains (Figure 8–4).
*
*
* 0
1
2
3
4
5
6
7
0 2 4 6 8
Su
rviv
ors
(lo
g C
FU
/mL
)
Exposure time (h)
(a)
Control
405 nm
* *
*
0
1
2
3
4
5
6
7
0 2 4 6 8 Su
rviv
ors
(lo
g C
FU
/mL
)
Exposure time (h)
(b)
Control
405 nm
140
Figure 8-4 The amount of coproporphyrin extracted from stationary phase
bacterial cells. A letter (a)
between the two strains did not differ significantly
(n=6; P > 0.05).
8.3.4 DNA oxidation
After exposure to LED illumination for 8 h (5.1 and 1.9 log reductions
for S. Enteritidis and S. Saintpaul, respectively), genomic DNAs were
extracted from illuminated cells and the degree of DNA oxidation was
measured to determine whether ROS produced during LED illumination
oxidize Salmonella DNA, especially guanine. The levels of 8-OHdG in LED-
illuminated S. Enteritidis and S. Saintpaul were 2.8 and 2.6 times higher (P ≤
0.05) than those of non-illuminated cells, respectively, but there was no
significant (P > 0.05) difference in the level of 8-OHdG between the two
strains (Figure 8–5).
a
a
0
20
40
60
80
100
S. Enteritidis S. Saintpaul
Co
pro
po
orp
hyri
n
(ng
/mg
)
141
Figure 8-5 Change in the level of 8-hydroxydeoxyguanosine (8-OHdG) of S.
Enteritidis (a) and S. Saintpaul (b) by 405±5 nm LED illumination at a set
temperature of 4 °C. Different letters (a–b)
in the same bar are significantly (P ≤
0.05) different from each other.
8.3.5 Damage to bacterial membrane function
Damage to bacterial membrane function was observed using flow
cytometry with five probes (Figure 8–1) and SYTO®9, PI, and EtBr bind to
nucleic acids. Green fluorescing SYTO®
9 enters bacterial cells through both
intact and damaged bacterial membranes, while red fluorescing PI only
penetrates the damaged cytoplasmic membrane (see Chapters 3 and 4) . Red
fluorescing EtBr is only able to enter non-pumping cells since intact cells can
actively pump out EtBr through the efflux pump, a non-specific proton
transport system (Benrney, Weilenman, and Egli, 2006). When two probes of
SYTO®9 and either PI or EtBr coexist into the cells, the intensity of SYTO
®9
is reduced. Green fluorescing DiBAC4(3) binds to intracellular proteins by
entering in the cells through depolarization or damaged cytoplasmic
membrane (Benrney, Weilenman, and Egli, 2006). 2-NBDG, as a fluorescent
glucose analogue, is able to monitor the glucose uptake via the glucose-
a a
a
b
0
10
20
30
0 8
ng
8-O
Hd
G /
mg
DN
A
Exposure time (h)
(a)
Control 405 nm
a a
a
b
0
10
20
30
0 8
Exposure time (h)
(b)
Control 405 nm
142
specific PEP-PTS in intact cells as an indicator of cellular viability (Benrney,
Weilenman, and Egli, 2006).
The percentages of loss of membrane functions were calculated based
on flow cytometry plot (Figure 8–6) and presented in Figure 8–7. Results
showed that no significant (P ≤ 0.05) changes in their membrane functions
were observed in non-illuminated control cells stored at 9.5 °C for 8 h, except
for the glucose uptake activity in S. Enteritidis (Figure 8–7). On the other
hand, the percentages of the loss of efflux pump activity increased up to 98%
for S. Enteritidis and 99% for S. Saintpaul after 4 h of illumination (Figure 8–
7a). The flow cytometry plot (Figure 8–6) also clearly showed the increase in
the intensity of red fluorescing EtBr in illuminated S. Enteritidis cells
compared to fresh cultured cells. For glucose uptake activity, the loss
Figure 8-6 Flow cytometry plots of S. Enteritidis cells stained with
SYTO®9/EtBr, SYTO
®9/PI, DiBAC4(3), or 2-NBDG after 405±5 nm LED
illumination at a set temperature of 4 °C.
143
Figure 8-7 Changes in cellular functions of S. Enteritidis and S. Saintpaul
during 405±5 nm LED illumination at a set temperature of 4 °C. Loss of efflux
pump activity with SYTO®9/EtBr (a); loss of glucose uptake activity with 2-
NBDG (b); Loss of membrane potential with DiBAC4(3); loss of membrane
integrity stained with SYTO®9/PI (d). Uppercase letters
(A–C) in the same bar
and lowercase letters (a–c)
in the same exposure time are significantly (P ≤
0.05) different one another.
percentages were 76% for S. Enteritidis and 67% for S. Saintpaul after 4 h of
illumination and then increased up to 99% for both strains at the end of
illumination (Figure 8– 7b). In contrast, the percentages of membrane
depolarization and permeability were slightly increased by LED illumination
and the difference between non- illuminated and illuminated cells was only
less than 10%; however, the difference was still significant (P ≤ 0.05) (Figure
8–7c and d). There were no differences in the degree of damages to membrane
bA bA aA
aA aA
aA
bA
cB bB
aA
cB bB
0
20
40
60
80
100
0 4 8
Lo
ss
o
f e
fflu
x p
um
p
ac
tivit
y (
%)
Exposure time (h)
(a)
aA
bB
bB
aA aA
aA aA
cB
cC
aA
cB
cC
0
20
40
60
80
100
0 4 8
Lo
ss
of
glu
co
se
up
tak
e
ac
tivit
y (
%)
Exposure time (h)
(b)
aA aA aA aA aA aA aA
bB bB
aA bAB bB
0
20
40
60
80
100
0 4 8
Dep
ola
riza
tio
n (
%)
Exposure time (h)
(c)
bA bcA abA aA aA aA
bA
cAB cB
aA abAB
bB
0
20
40
60
80
100
0 288 576
Pe
rme
ab
ilit
y (
%)
Exposure time (h)
(d)
Control S. Enteritidis
Control S. Saintpaul
LED-illuminated S. Enteritidis
LED-illuminated S. Saintpaul
144
functions between S. Enteritidis and S. Saintpaul after LED illumination,
except for membrane permeability that showed 8.6% higher permeability in S.
Enteritidis than that of S. Saintpaul.
8.3.6 Transmission electron microscopy analysis
To obtain the concrete evidence on the antibacterial mechanism of
405±5 nm LED illumination, changes in the external and internal cell
structures were analyzed by TEM. S. Enteritidis was chosen as a model strain
for this analysis. TEM images revealed that the cytoplasm of non-illuminated
cells was evenly distributed without the aggregation of cellular components
(Figure 8–8a and b), while LED-illuminated cells had an altered appearance
Figure 8-8 Micrographs of non-illuminated and LED-illuminated S. Enteritidis
cells at a set temperature of 4 °C for 10 h (a total dose of 720 J/cm2): (a), non-
illuminated control cells at 10,000 ×; (b), non-illuminated control cells at
40,000 ×; (c), LED-illuminated cells at 10,000 ×; (d), LED-illuminated cells
at 40,000 ×. The morphological change in illuminated cells is highlighted by
an arrow.
145
with disorganization of the genomic area (Figure 8–8c and d). Thus, these
results indicate that LED illumination primarily induces intracellular damage
rather than outer membrane damage, although some of both non-illuminated
and illuminated cells showed an indistinctive outer membrane with a collapsed
shape.
8.3.7 Changes in gene expression levels by LED illumination
The levels of the relative gene expression in non-illuminated and
illuminated S. Enteritidis and S. Saintpaul cells are presented in Figure 8–9.
The results showed that only oxyR gene was upregulated in both non-
illuminated and illuminated S. Enteritidis cells (Figure 8–9a), whereas the
transcription levels of all genes (oxyR, recA, rpoS sodA, and soxR) were up-
regulated in non-illuminated and illuminated S. Saintpaul cells (Figure 8–9b).
Figure 8-9 Relative expression levels of oxyR, sodA, soxR, recA, and rpoS of
non-illuminated and LED-illuminated cells of S. Enteritidis (a) and S.
Saintpaul (b) at a set temperature of 4 °C for 1 h (a total dose of 72 J/cm2).
Asterisk (*) indicates significant (P ≤ 0.05) difference between illuminated
and non-illuminated control counts.
*
0
1
2
3
4
5
oxyR recA rpoS sodA soxR
Rela
tive
Ex
pre
ss
ion
L
eve
ls (
2-ΔΔ
Cт )
(a)
Control cells
Non-illuminated cells
Illuminated cells
*
0
1
2
3
4
5
oxyR recA rpoS sodA soxR
(b)
146
Among the five genes, the transcription level of oxyR in both strains was
significantly (P ≤ 0.05) different between non-illuminated and illuminated
cells; however, the transcription level of oxyR was 1.5 times higher in
illuminated S. Enteritidis, but 1.4 times lower in illuminated S. Saintpaul
compared to that of non-illuminated cells.
8.4 Discussion
The findings presented in Chapters 3 and 4 have demonstrated that the
antibacterial efficacy of 405±5 nm LED varied by bacterial species. In
addition, these studies also confirmed that LED illumination could damage
bacterial membrane using LIVE/DEAD® BacLight Kit. However, the
effectiveness of LED illumination at the same species level and its detailed
antibacterial mechanism has not been studied yet. Thus, the present study was
designed to assess the efficacy of LED against different Salmonella strains and
to elucidate its antibacterial mechanism at the membrane and gene levels as
well as to identify the factor influencing differences in the bacterial sensitivity
to LED illumination.
In this study, the antibacterial effect of 405±5 nm LED was evaluated at
a set temperature of 4 °C to simulate chilling conditions because effectiveness
of LED illumination was enhanced at chilling temperatures rather than room
temperature (Ghate et al., 2013, Chapter 5–7). The results showed that the
antibacterial efficacies of 405±5 nm LED illumination varied with Salmonella
strains on TSA plates (Figure 8–2), exhibiting that S. Enteritidis ATCC 13076
and S. Saintpaul ATCC 9712 were identified as the more susceptible and
resistant strains, respectively, than the other strains. Four S. Typhimurium and
147
five S. Enteritidis strains also exhibited the different sensitivities to LED
illumination, respectively. The difference in the sensitivity to LED
illumination between S. Enteritidis ATCC 13076 and S. Saintpaul ATCC 9712
was more obvious in PBS than on TSA (Figure 8–3). Thus, these results
indicate that the efficacy of LED illumination might be dependent on bacterial
strains rather than serotype.
In contrast to the present study, Endarko et al. (2012) reported that the
similar sensitivity to 405 nm LED among three different Listeria spp. (L.
ivanovii, L. monocytogenes, and L. seeligeri) in PBS, while other bacteria,
including S. Enteritidis, S, sonnei, L. monocytogenes, and E. coli, had the
different sensitivities to it. Another study conducted with 405 nm LED in PBS
showed that 5 log reductions of L. monocytogenes, S. sonnei, and E. coli
O157:H7 were achieved at different irradiation doses (Murdoch et al.,
2012).Similar to the results obtained in this study, variations in bacterial
sensitivities to other nonthermal technologies were also reported. For example,
the study conducted by Patteron et al. (1995) showed that the efficacy of high
hydrostatic pressure treatment varied by species and strains within the same
species. Gayán et al. (2012) also showed similar findings for different
sensitivities to UV light among five different Salmonella strains, revealing that
S. Enteritidis ATCC 13076 and S. Typhimurium STCC 878 were the most
sensitive and resistant, respectively.
Bacterial inactivation to LED illumination without the addition of
exogenous photosensitizers is theoretically due to the formation of
intracellular ROS by the excited endogenous porphyrins naturally presented in
the cells, which could nonspecifically damage cellular components such as
148
DNA, proteins, and lipids, eventually causing cell death (see Chapter 3;
Luksienė and Zukauskas, 2009). It is known that protoporphyrin IX, one of
endogenous photosensitizers, is localized in the cytoplasm and is catalyzed by
ferrochelatase that is one of cytoplasmic enzymes to incorporate iron in the
final step of heme synthesis (Thöny-Meyer, 2009). Thus, it is hypothesized
that the different photodynamic inactivation rate between S. Enteritidis and S.
Saintpaul might be attributed to the different levels of endogenous porphyrin
compounds. Since coproporphyrin is a precursor of protoporphyrin IX
(Hamblin and Hasan, 2004), the total amounts of coproporphyrin in two
Salmonella strains were quantified by HPLC in this study.
The present data showed that there was no significant (P > 0.05)
difference in the amounts between the two strains, indicating that
coproporphyrin content was not a contributing factor to the difference in the
bacterial sensitivity to LED illumination (Figure 8–4). Similar results were
also found in the study conducted by Kumar et al. (2015) who showed that S.
Typhimurium produced higher amounts of coproporphyrin than that of E. coli
O157:H7, but the inactivation rate was opposite. In addition, B. cereus with
higher amounts of coproporphyrin than S. aureus was less susceptible to LED
illumination than S. aureus. Thus, all these data indicate that there might be no
noticeable relationship between the levels of coproporphyrin and the
inactivation rate among the bacterial species, suggesting that other factors,
such as the extent of cellular damage and the bacterial response to LED
illumination, could influence the difference in the bacterial susceptibility to
LED illumination.
149
Since cellular DNA is supposed to be the major targets of ROS
generated by LED illumination, the oxidized derivative of 8-OHdG was firstly
analyzed to find out whether LED illumination causes DNA oxidation. The
present results showed that the levels of 8-OHdG in both S. Enteritidis and S.
Saintpaul cells were significantly increased after LED illumination,
confirming that 405±5 nm LED could oxidize genomic DNA by generating
intracellular ROS (Figure 8–5). However, there was no difference in the
degrees of DNA oxidation between the two strains. Similar to the present
results, some studies reported DNA oxidation in S. Typhimurium by 365 nm
LED illumination (Hamano et al., 2007) and in E. coli by illumination at 407
nm with the addition of terta-meso (N-methylpyridyl) porphine (TMPyP), one
of exogenous photosensitizers (Salmon-Divon, Nitzan, and Malik, 2004).
Loss of cellular membrane functions by LED illumination was
measured using flow cytometry. The results showed that LED illumination
completely inactivated efflux pumps (Figure 8–6 and 7a). Efflux pumps as
transport proteins are localized and embedded in bacterial cytoplasmic
membrane, which recognizes unwanted agents such as antibiotics and EtBr
from the environment or cytotoxic products produced during metabolism
(Amaral et al., 2014). To move noxious agents from the inside out, efflux
pump utilizes energy sources through the proton motive force (PMF) or ATP
synthesis (Amaral et al., 2014). Thus, one possibility for rationalizing loss of
efflux pump activity is that intracellular ATP is depleted due to the inhibition
of ATPase by ROS (Berney, Weilenmann, and Egli, 2006; Christena et al.,
2015). This is also associated with the abortion of DNA replication, resulting
in no bacterial growth (Christena et al., 2015). A previous study conducted by
150
Berney, Weilenmann, and Egli (2006) demonstrated that UV-A light rapidly
diminished a total of ATP and simultaneously inactivated efflux pump
activity.
Another possibility is due to ROS generated from cytochromes
containing a heme prosthetic group in the cytoplasmic membranes by LED
illumination (Thöny-Meyer, 2009), which could attack nearby efflux pumps.
Nitzan and Ashkenazi (2001) reported that 405 nm illumination with the
addition of TMPyP not only damaged the sodium-potassium pump but also
inactivated other enzymes such as NADH dehydrogenase and lactate
dehydrogenase. Based on these results, it is also speculated that intracellular
ROS produced from LED illumination could also attack the other proteins
associated with the function of efflux pump.
Similar to efflux pumps, the present results showed that the glucose
uptake system, the glucose-specific PEP-PTS, in Salmonella cells was also
totally damaged by LED illumination, regardless of bacterial strain. It is
known that this system catalyzes a group translocation process to
phosphorylate glucose through a phosphoryl transfer process as well as
monitors the metabolism in response to the availability of consumable glucose
(Deutscher, Francke, and Postma, 2006; Reizer et al., 1998). The damage to
PEP-PTS in Salmonella cells by LED illumination might be due to the
inactivation of enzymes associated with PEP-PTS and ATP synthesis to be
utilized for phosphorylation as described above. Surprisingly, non-illuminated
S. Enteritidis cells also slightly lost their glucose uptake activity
(approximately 34%) at chilling temperature but not for S Saintpaul. This is
151
probably because S. Enteritidis would be more sensitive to cold and starvation
conditions than S. Saintpaul.
A previous study tested with UV-A and sunlight on E. coli also reported
the damage to efflux pump and glucose uptake system over the exposure time,
demonstrating that efflux pump activity firstly ceased, then membrane
potential and the glucose uptake were gradually lost, and considerable
membrane permeability was finally observed (Berney, Weilenmann, and Egli,
2006). However, the present results showed that only 6–10% higher in cellular
depolarization and permeability after LED illumination compared to those of
fresh cultured and non-illuminated control cells. The results in Chapter 3 also
showed only some of illuminated S. Typhimurium cells underwent loss in the
membrane integrity under the same illumination condition.
Similar to the present results, Caminos et al. (2008) reported no change
of the membrane integrity of E. coli after PDI with the aid of an exogenous
photosensitizer, although the membrane functions could be lost. Alves et al.
(2014) demonstrated that the large amounts of exogenous photosensitizers
might be required to disrupt bacterial outer membrane by PDI. Thus, it is
speculated that the small amounts of endogenous porphyrins in Salmonella
cells could not generate sufficient ROS for the disruption of cell membrane
integrity during LED illumination; however, it might be enough to attack
DNA, efflux pump activity, and glucose uptake systems due to the proximity
of endogenous porphyrins. This possibility could be supported by the results
obtained by Kumar et al. (2015) who reported 9–25 times lower
concentrations of coproporphyrin compounds in S. Typhimurium cells than
other Gram-positive bacteria. Moreover, the slight increase in the membrane
152
depolarization and permeability by LED illumination might be due to the loss
in efflux pump activity and other membrane proteins (Berney, Weilenmann,
and Egli, 2006; Spesia et al., 2009).
For a better understanding of the antibacterial mechanism of LED
illumination, the morphological damage of illuminated cells was examined by
TEM. Visual changes in regions of nucleoid and ribosome were only observed
and no noticeable damage on cell envelops was found (Figure 8–8). The
results of TEM correspond with the present results of DNA oxidation and low
percentages of membrane depolarization and permeability. Thus, these results
clearly indicate that photodynamic inactivation of LED illumination without
the addition of photosensitizers might not be due to membrane disruption.
The bacterial response to LED illumination was investigated by
determining the transcription levels of oxyR, recA, rpoS, sodA, and soxR to
find out whether these genes could contribute to the different sensitivities of S.
Enteritidis (a sensitive strain) and S. Saintpaul (a resistant strain) to 405±5 nm
LED illumination. The results showed that both non-illuminated and LED-
illuminated S. Saintpaul cells in PBS upregulated all five genes tested in this
study, while both non-illuminated and illuminated S. Enteritidis cells
upregulated only oxyR gene (Figure 8–9). These findings suggest that the gene
expression level might be altered by the exposure to chilling temperature,
starvation condition, or both conditions rather than that of LED illumination.
However, such upregulation in the regulatory genes under the conditions could
make S. Saintpaul more resistant to LED illumination than S. Enteritidis.
Similar to the findings in this study, Smirnova, Zakirova, and
Oktyabrskii (2001) reported that the response of E. coli to temperature-shift
153
from 37 to 20 °C within 10 min resembled oxidative stress responses, resulting
in upregulation of sodA, but no change in katG that is controlled by oxyR.
Another previous study showed that the levels of oxyR expression in four
Vibrio vulnificus strains were elevated by cold shock at 4 °C, whereas the
transcription levels of katG were slightly changed in all strains but at different
exposure time (Limthammahisorn, Brady, and Arias, 2007).
In this study, both rpoS and oxyR genes were upregulated in S. Saintpaul
in response to chilling and starvation conditions. This is because rpoS could
reflect the positive transcription regulation of oxyR to adapt to environmental
change (Kong et al., 2004). Merrikh et al. (2009) reported that a number of
antioxidant enzymes such as catalase and SOD could be also regulated by
RpoS under the oxidative stress. A previous study demonstrated that rpoS
mutants of S. Typhimurium strain were even more susceptible to UV light
compared to wild-type strain (Child et al., 2002). The induction of the RpoS
regulator could make bacterial cells resistant to various stresses and starvation
condition (Battesti, Majdalani, and Gottesman, 2011). Thus, the results
obtained in this study indicate that the different sensitivities of S. Enteritidis
and S. Saintpaul to LED illumination might be due to the regulation of stress-
related genes at chilling and starvation conditions.
8.5 Conclusions
This is the first comprehensive study to elucidate the detailed
antibacterial mechanism of 405±5 nm LED illumination at refrigeration
temperatures against Salmonella cells as well as to identify the factors
influencing sensitivity to LED illumination. The present results showed that
154
the difference in sensitivity of Salmonella cells was strain dependent rather
than serotype dependent. These findings confirmed genomic DNA oxidation
and the loss of membrane functions, preferentially in efflux pump and glucose
uptake activity due to LED illumination but only slight damages to membrane
potential and integrity. Similar to DNA oxidation, TEM images clearly
showed that bacterial genomes were one of major targets of LED illumination.
Thus, these results propose that the antibacterial mechanism of 405±5 nm
LED illumination might be due to DNA oxidation and loss of membrane
functions. Furthermore, all five regulatory genes of resistant S. Saintpaul were
highly upregulated in response to low temperature and starvation rather than
LED illumination, suggesting that these changes make them more resistant to
LED illumination than S. Enteritidis. Therefore, the data obtained in this study
help us for a better understanding of antibacterial mechanism of 405±5 nm
LED illumination on Salmonella cells without the addition of exogenous
photosensitizers.
155
Chapter 9
Conclusions
The potential of 405±5 nm LED as a novel food preservation technology
was evaluated in this study by examining its antibacterial effect against major
foodborne pathogens in PBS, and on fresh-cut fruits and cooked chicken at
refrigeration temperatures that simulate storage conditions in food
establishments. Results show that LED illumination inactivates about more
than 90% of the populations of six pathogens (E. coli O157:H7, B. cereus, L.
monocytogenes, Salmonella, S. sonnei, and S. aureus) in PBS under
refrigeration conditions. In particular, S. Typhimurium and L. monocytogenes
were identified as being more sensitive among the Gram-negative and –
positive groups tested in this study, respectively (Chapters 3 and 4). S.
Enteritidis 130 was found to be more sensitive than S. Enteritidis 124 and 125
to LED illumination (Chapter 7). All 18 strains of Salmonella showed
different susceptibilities to LED illumination (Chapter 8), revealing that S.
Enteritidis (ATCC 13076) and S. Saintpaul strains were more sensitive and
resistant to LED illumination, respectively. Four different S. Typhimurium
strains also demonstrated differences in sensitivities to LED illumination.
Based on these findings, it is concluded that the antibacterial efficacy of 405±5
156
nm LED illumination is not only species and serotype dependent but also
strain dependent.
For food application, the efficacy of 405±5 nm LED in controlling E.
coli O157:H7, L. monocytogenes, or Salmonella spp. on cooked chicken, and
fresh-cut papaya and mango was evaluated. The effect of storage temperature
on effectiveness was also determined. Results show that LED illumination
effectively inactivates all test pathogens on fresh-cut fruits at refrigeration
temperatures (4 and 10 °C) for 2 days (Chapters 5 and 6), while S. Enteritidis
on illuminated cooked chicken was inactivated at only 4 °C (Chapter 7),
indicating refrigeration temperatures enhance the antibacterial effect of LED
illumination. Regardless of food matrix, except for Salmonella on the mango
surface, LED illumination at room temperature only delayed the bacterial
growth. These results indicate that storage temperature plays an important role
in the antibacterial effect of 405±5 nm LED. Furthermore, LED illumination
did not influence the physicochemical and nutritional qualities of fresh-cut
fruits at the storage temperatures tested, indicating that it would be a useful
tool to preserve RTE refrigerated foods without deterioration.
The antibacterial mechanism of 405±5 nm LED at refrigeration
temperatures was elucidated by determining damage to cellular components.
Results demonstrated that LED illumination increased cell sensitivity to NaCl
and bile salts by more than 90% compared to non-illuminated cells, exhibiting
damage to bacterial membranes by ROS generated from LED illumination
(Chapters 3 and 4). The loss of membrane functions especially in efflux pump
activity and glucose uptake systems was observed in Salmonella cells resulted
from LED illumination but analysis using flow cytometry showed that there
157
was only slight loss of membrane potential and integrity (Chapter 8). It was
also confirmed that membrane lipid peroxidation did not occur, while genomic
DNA was extensively oxidized due to LED illumination. Salmonella DNA
damage was confirmed by TEM images, which demonstrated visual changes
in nucleoid and ribosome, compared to non-illuminated cells (Chapter 8).
Furthermore, illuminated cells on chicken surface were incapable of repairing
damages to DNA, RNA, protein, and cell wall metabolism induced by
metabolic inhibitors (Chapter 7). LED illumination did lead to multi-damage
to cellular components. Findings suggest that DNA oxidation, the loss of
membrane functions in efflux pump activity and glucose uptake systems, and
failure of repair are main mechanisms of antibacterial action of 405±5 nm
LED illumination at refrigeration temperature (Figure 9–1). In addition, LED-
resistant S. Saintpaul cells and LED–sensitive S. Enteritidis cells upregulated
all five oxidative related genes and only oxyR gene, respectively, in response
to refrigeration temperature and starvation rather than LED illumination,
indicating that differences in regulation of genes may be contributing factors
influencing the cell sensitivity to LED illumination (Chapter 8). Results
obtained in all these studies not only indicate that 405±5 nm LED illumination
in combination with low temperature control is a promising technology for
RTE food preservation in food establishments but also sheds light on how
LED illumination without the addition of exogenous photosensitizers
inactivates Salmonella cells. However, further study is required to evaluate the
efficacy of 405±5 nm LED against other foodborne pathogens and natural
microbiota as well as on other food matrices, as the behavior of bacterial
pathogens may vary according to differences in types and contents of
158
bioactive compounds and nutrition in foods. In addition, the LED system
needs to be improved to effectively inactivate microorganism on both sides of
cut fruits.
159
Figure 9-1 Illustration of the proposed bacterial mechanism of 405±5 nm LED illumination at a refrigeration temperature. ROS generated during
LED illumination might attack DNA and bacterial membrane (A–E). PC, porphyrin compound; Cyt, cytochrome complexes; PEP-PTS,
phosphoenolpyruvate: sugar phosphotransferase system.
160
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