FTIR analysis and potentiometric titration in ...
Transcript of FTIR analysis and potentiometric titration in ...
FTIR analysis and potentiometric titration in identification of functional groups on the surface of
new biosorbents – strawberry and raspberry seeds
Mateusz Samoraj1, Izabela Michalak1, Katarzyna Chojnacka1
1 Department of Advanced Material Technologies, Faculty of Chemistry, Wrocław University of
Technology, Smoluchowskiego 25, 50-372 Wrocław, Poland
Presenting author email: Katarzyna Chojnacka, [email protected]
Corresponding author: Mateusz Samoraj, [email protected]
Abstract
In the present work, post-extraction residues of strawberry and raspberry seeds were used as biosorbents
of micronutrients. Taking into account physical form of strawberry and raspberry seeds and relative
homogeneity, they are interesting biosorbents. Their sorption propertiesare unknown,so far.
In this study, the surface chemical functional groups of new biosorbents were identified. The
biomass of post-extraction residues of strawberry and raspberry seeds was enriched with Cu(II), Mn(II)
and Zn(II) ions via biosorption in stirred tank reactor (40 L) at 25 oC, pH=5. About 40 g of each
micronutrient-enriched product was prepared. The role of the surface chemistry of the biomass in
biosorption process was investigatedby ICP–OES,FTIR and potentiometric titration. The comparison of
the obtained results was performed in order to investigate the functional groups thatparticipate in
biosorption. Results obtainedby ICP-OES analysis showed exchange of naturally bound alkali cations
with micronutrients. Important functional groups present on the biomass of residues of berries seeds were
carboxyl, amino and hydroxyl groups. There was found a correlation between cation exchange capacity
assessed with potentiometric titration and sorpion capacity of copper ions by ICP-OES.The use of FTIR
analysis, potentiometric titration and ICP-OES is a useful approach in the elaboration of biosorption
phenomenon.
Keywords: biosorption, berries seeds, functional groups, FTIR, ICP-OES
1. Introduction
Waste management became more importantdue to the availabilityand lower cost of usingwaste materials
(Schaub and Leonard 1996). An exemple are strawberry and raspberry seeds which are particularly
interesting waste in fruits industry. About 200 000 Mg of strawberries and 120 000 Mg (GUS 2014) of
raspberries are produced annually in Poland with the total global production of 1 600 000 and 460 000
Mg (Novagrim 2010;Freshplaza 2014 ). Constituents of berries:anthocyanins and polyphenols such as
ellagic acid, are beneficial in protecting cells from various health injuries, such as ageing and different
forms of cancer,as it was shown in in vitro and in vivo tests (Juranic et al., 2005).
In the processing of raspberry and strawberry fruits, the seeds become a by-product. Raspberry
and strawberry seeds constitute up to 50% of the waste (Samoraj et al., 2014). Seeds of raspberries and
strawberries may be subjected to supercritical extraction (Nakonieczna et al., 2014). The obtained oil is
rich in tocopherols, vitamin E, lipids, phospholipids, free fatty acids (Oomah et al., 2000). Seed oil has
superior antioxidant potential as compared to vitamins C, E, and β-carotene (Zafra‐Stone et al., 2007).
Natural antioxidants (including phenolic compounds) may prevent lipid peroxidation in edible oils as in
the case of synthetic antioxidants such as butylated hydroxyanisole and butylated hydroxytoluene (Parry
and Yu 2004). It is very important because oxidation of lipids has been gaining a great concern because of
its influence on a quality and nutritive value decrease of fat and fat-containing food, as well as the diverse
biological activity of the products formed (Małecka et al., 2003).
Utilization of berries seeds by the supercritical extraction of oils generates post-extraction
residues. In the last time, special attention is paid to the use of process wastes from biomass processing
which provides an opportunity to substitute chemical fertilizers. There are many advantages of this type
of residues for example: slow release of micronutrients, growth stimulants, improvement of soil structure
(Hue and Silva 2000; Tuhy et al., 2014). The new idea involves the use of supercritical post-extraction
residues of berries seeds as components of fertilizers (Chojnacka et al., 2014).
Taking into account physical form of strawberry and raspberry seeds, post-extraction residues
and relative homogeneity, they are interesting biosorbents. The quality of biosorbents depends on strong
molecular interactions (i.e. electrostatic attractions), chemical state and composition of surface functional
groups. The state - ionization or protonation of the functional groups present on the surface depends
directly on medium acidity (pH) and dissociation constant. Usually, value of this constant for chemical
groups presented by biomolecules closely corresponds to pKa value of appropriate inorganic acid or
base,because of the presence of different types of functional groups (commonly): amine, carboxyl,
hydroxyl, phosphoryl and sulfone groups on the biomass surfaces with amphoteric properties (Dmytryk et
al., 2014). In general, surface chemical reactions between mentioned functional groups allow (mainly by
complexation) for selective binding of micronutrients (Pagnanelli et al., 2008)
On the surface of the strawberry and raspberry seeds polysaccharides, fatty acids, proteins,
amino acids are found(Parry and Yu 2004). These molecules contain a variety of functional groups (e.g.
carboxyl, hydroxyl etc.) which can participate in the biosorption of microelement ions (Michalak et al.,
2013). Their sorption propertiesare unknown,so far. Due to biosorption, there is a possibility to increase
the content of essential micronutrients such as zinc, manganese and copper in the biomass. As it was
reported previously, micronutrients after biosorption are bound to the biomass matrices in bioavailable
form (Tuhy et al., 2014; Chojnacka et al., 2014).
In present work, post-extraction residues of strawberry and raspberry seeds were examined as a
new biosorbent. The surface chemical functional groups were identified. The role of the surface chemistry
of the biomass on biosorption was investigated. The biomass of strawberry and raspberry post-extraction
seeds residues was enriched with Zn(II), Cu(II) and Mn(II) which are important in plant feeding. In order
to explain the mechanism of the biosorption, different analytical techniques were applied. The surface
functional groups of the biomass were identified by Fourier Transform Infrared (FTIR) analytical technique
and potentiometric titration. These techniques are reported as useful methods in the determination of the
presence of functional groups on the biosorbents surface (Yun et al., 2001). Surface characterization by
titration modeling have been applied also by other researchers to different heterogeneous natural materials
(soils, agricultural wastes, bacterial biomasses) (Pagnanelli et al., 2000, 2003, 2004, 2006). The content of
elements in metal loaded biomass was examined by Inductively Coupled Plasma –Optical Emission
Spectroscopy (ICP–OES).
2. Material and methods
2.1. Biosorbent
The biomass of post-extraction residues of raspberry and strawberry seeds was obtained from the New
Chemical Syntheses Institute – Supercritical Extraction Department in Puławy.
2.2. Biosorption process
The biomass was enriched with Zn(II), Cu(II) and Mn(II) ions via biosorption in stirred tank reactor (40
L) at 25 oC, pH=5 (Tuhy et al., 2014). Aqueoussolution of microelement ions (300 mg/L) was prepared
by dissolving ZnSO4·7H2O, CuSO4·5H2O, MnSO4·H2O in deionized water.
2.3. ICP-OES analysis
For the ICP–OESmultielemental analysis of samples known mass of each material was digested in
microwave system Milestone Start D (USA) with spectrally pure nitric acid – 69% m/m (Suprapur,
Merck, USA) in teflon bombs. All mineralization parameters were matched to assure complete digestion
of samples. After mineralization, samples were analyzed with ICP–OES (Varian–Vista MPX, Australia).
Samples were introduced with ultrasonic nebulizer CETAC U5000AT+. The analyses were carried
out in Laboratory Accredited by Polish Centre of Accreditation (PCA) according to PN-EN ISO/IEC
17025:2005. Quality assurance of the test results was achieved by using Combined Quality Control
Standard from ULTRA SCIENTIFIC, USA. All samples were analyzed in three repeats (the relative
standard deviation was <5%).
2.4. FTIR analysis
Functional groups presented on the surface of the biomass were identified by FTIRspectroscopy.
FTIRabsorptionspectrawere performedin thewave number range4000-400cm-1. Approximately 2 mg of
biological material sample was prepared and compressed with 200 mg of dry KBr. Analysis was
performed with Spectrum System 2000 FT–IR (Perkin Elmer). Studies were carried out the Central
Laboratory of Instrumental Analysis at Wrocław University of Technology.
2.5. Potentiometric titration
Second method used for the identification offunctional groups on the biomass was potentiometric
titration.For the analysis,1.0 g of the biomass was suspended in 100 mL of ultrapure deionized water.
Titration was performed in two steps with automatic titrator (T50, Mettler Toledo). In first step,pH was
lowered to 2.5. After that the biomass was titrated with NaOH (0.1 M). All probable pKa points (acidic
dissociation constants) on titration curve were assigned using graphical method with Origin Pro 2015
software. From 1st derivative curve, all peaks were determined. From 2nd derivative curve, all crossing
points with x-axis were chosen from population of Xadd values (molar ratio of added titrant – mmol/g of
biosorbent), determined in first step. These points are probable Xadd values for all measured pH at pKa
points.
3. Results and discussion
Biosorption is a complex process. Biomass can bind metal ions by (I)chemical exchange of cations (ion
exchange) orprotons (proton displacement), chelation orcomplexation and (II) physical (van der Waals
forces and electrostatic interaction) (Davis et al., 2003; Michalak et al., 2013). The identification of
biosorption mechanism might be evaluatedby: potentiometric titration, XRF,FTIR, SEM-EDX(Michalak
et al., 2013). Main role in the biosorption process play functional groups (especially carboxyl) which are
present on the biomass surface.
In the present work,qualitative determination of functional groups on the surface of the biomass was
conducted with FTIR analytical technique and potentiometric titration (Yun et al., 2001). FTIR allows
identification of different functional groups on the cell wall structure and provides important information
related to the nature of the bonds (Michalak et al., 2013; Murphy et al., 2007). The potentiometric titration is
also useful in description of aqueous biomass suspension. However, post-extraction residues of strawberry
and raspberry seeds have not been studied in this respect, so far. Prepared materials were also subjected to
ICP-OES analysis in order to determine which metal ions were exchanged during the process.
3.1. Multielemental analysis
In the present study, both tested biosorbents had the highest biosorption capacity for copper ions, then
zinc and finally for manganese.This phenomenon can be explained by characteristics of the metal ionic
properties. Taking into account several parameters (Can and Jianlong 2007) listed in Table 1.It may be
assumed that AR, IP andXm are responsiblefor the highest biosorption capacity of the examined
biomasses for Cu(II) ions.
Table 1.Metal ionic properties
Micronutrient
Biosorption capacity (mg/g)
Oxidation
number
(OX)
Atomic
weight
(AW) (u)
Atomic
radius (AR)
(Å)
Ionization
potential
(IP) (eV)
Electronegativity(Xm)
(Pauling Units)
Post-extraction
residue of
strawberries
seeds
Post-extraction
residue of
raspberries seeds
Cu 12.6 9.58
2
63.5 1.35 20.3 1.90
Zn 5.13 4.78 65.4 1.31 18.0 1.65
Mn 5.03 2.50 54.9 1.12 15.6 1.65
Basing upon data from Table 2, the content of K(I) in the enriched with Zn(II), Cu(II) and Mn(II)
ions biomass of strawberry seeds decreased by 80.0%, 83.4% and 48.9%, respectively, when compared to
the natural biomass.Similarly for raspberry seeds decreases were 89.5%, 94.4%, 89.3% for Zn(II), Cu(II)
and Mn(II) enriched biomass, respectively.In case of Mg,decrease was 62.9% (81.2%),67.9%(90.6%),
79.5% (80.4%) for Zn(II), Cu(II) and Mn(II) enriched biomass, respectively, for strawberry seeds (and
raspberry).For Ca decrease after biosorption was smaller – 8.42% (55.1%), 12.4% (76.6%), 3.0% (39.2%)
for strawberry seeds (and raspberry).Content of S was 32.6% (22.5%), 34.1% (2.63%), 38.2% (28.3%)
lower for Zn(II), Cu(II) and Mn(II) enriched biomass, for strawberry seeds (and raspberry), respectively.
During biosorption process, mainly light metal cations (K(I), Mg(II), Ca(II)) which are bound
with functional groups (presented on the surface), were exchanged with micronutrient cations (Davis et
al., 2003). In conducted biosorption process of Zn(II), Cu(II) and Mn(II) on strawberry and raspberry
seeds, mainly K, Mg, Ca and S ions took part in ion exchange.
Table 2. Multielemental composition of natural and enriched witch micronutrients strawberry and
raspberry seeds biomass
Element S - natural S + Zn S + Cu S + Mn R - natural R + Zn R + Cu R + Mn
(mg/kg)
Mic
ronu
trie
nts
Zn 43.6 5134 151 59.1 34.6 4776 171 26.1
Cu 13.5 12.9 12611 87.3 8.96 9.09 9578 71.5
Mn 85.8 32.8 25.6 5027 75.9 18.8 14.0 2484
Fe 152 131 118 117 122 101 184 113
Mo 2.34 1.57 2.11 2.37 6.54 2.14 4.41 3.37
Ni 1.63 2.34 <0.03 0.04 <0.03 0.46 <0.03 1.23
Mac
ronu
trie
nts
P 2780 1434 1298 1784 1551 757 797 1056
K 3353 672 555 1715 2767 290 156 295
S 2199 1482 1450 1360 1407 1090 1370 1009
Ca 5594 5123 4899 5424 2502 1123 585 1521
Mg 2464 915 791 505 1802 339 170 354
Na 615 674 333 349 472 622 630 787
Oth
er e
lem
ents
Al 40.0 50.4 51.0 61.8 57.8 28.4 44.2 35.9
Se 19.4 8.85 10.0 6.08 7.40 <0.5 1.14 <0.5
Si 253 289 365 364 130 153 170 175
Ti 2.26 2.60 3.66 2.88 8.59 9.63 3.60 3.35
V 3.28 1.69 1.54 2.05 1.50 1.88 0.894 2.59
Tox
ic e
lem
enrs
Cd 0.574 0.772 0.799 0.412 0.830 0.245 0.532 0.407
Ni 1.63 2.34 <0.03 0.0414 <0.03 0.465 <0.03 1.23
As <0.3 <0.3 <0.3 8.87 <0.3 <0.3 <0.3 <0.3
Pb 4.50 8.59 4.14 7.63 <0.5 0.629 19.0 2.50
Cr 1.16 5.63 0.423 1.82 0.117 1.87 0.616 0.596
S- post-extraction residues of strawberry seeds
R- post-extraction residues of raspberry seeds
3.2. FTIR analysis
FTIR spectra for natural and enriched with Zn(II), Mn(II) and Cu(II) ions post-extraction residues of
strawberry and raspberry seeds are presented in Figure1 and 3, respectively. SinceFTIR curves have
similar shape, we assumed that the same functional groups were involved in the biosorption process. In
Figure2 and 3,FTIR spectra for each biomass were presented, separately. Nature of the surface of
analyzed biosorbentsis very complex because number of absorption peaks was observed.
In the literature, different wavenumbers are assigned to cellular molecules, for example: lipid
1780–1708 cm−1, amide I: 1705–1575 cm−1, phosphoryl 1350–1190 cm−1, amide II 1575–1480 cm−1,
carboxyl 1064–880 cm−1(Stehfest et al., 2005). The biomass of raspberry and strawberry seeds has a
number of functional groups from macromolecules such as: polysaccharides, fatty acid, amino acids,
phenols etc. (Parry and Yu2004;Oomach et al., 2000).
The comparison of FTIR peaks for natural and Mn, Cu and Zn loaded biomass with literature
data is presented in Table 3. In comparison between natural and metal loaded strawberry and raspberry
seeds, there are visible spectra transitions, which allow for identification of functional groups (Figure2
and Figure4). In this study, minor changes in the wavenumber for both investigated materialswere
detected for amine group. Smaller shifts were observed for carboxyl group, amide I band, phosphoryl and
phosphine. This shows which functional groups were actually involved in the binding of microelement
ions from the aqueous solution. Most of the peaks in FTIR spectra of Cu, Zn and Mn enriched biomass
appeared at the similar wavelength.
Table 3.Comparison of FTIR peaks for natural, Mn, Cu and Zn loaded biomass
Strawberry seeds Raspberry seeds Assigned group Literature -* Zn Cu Mn -* Zn Cu Mn
Peak at 333
9 331
4
3422
3411
3418
3398
3390 3321 3307
3420
3416
3426
Amine
3200-3500 (Lambert et al., 1987;Feride et al., 2012)
2958
2929
2927
2928
2928
2928 2926
2926
2927
Carboxylic
2900-3300 (Michalak et al., 2013)
2858
2856
- 2855
2856 2857
2857
2856
CH2 of saturated CH primarily from lipids
3000-2800 (Stehfest et al., 2005)
2339
2363
2376
2386
2341 2255
2339
2348
P-H phosphines 2280-2410 (Lambert et al., 1987)
- 1739
1734
1739
1733 1739
1738
1739
C═O strech of COOH, C=O of fatty acids 1740(Fourest and Volesky 1996), 1780-1708 (Stehfest et al., 2005)
1656
1654
1653
1652
1656 1655
1656
1653
Amide I band (with proteins) 1705-1575 (Stehfest et al., 2005; Lambert et al., 1987;Feride et al.,
2012) 154
0 1517
1522
1517
15311519
1515
1515
1515
N-H of amides associated with proteins amide II band
1575-1480 (Stehfest et al., 2005;Feride et al., 2012)
1451
1452
1444
1451
1450 1452
1451
1452
CH3 of proteins 1455 (Stehfest et al., 2005)
1397
1373
1376
1374
1368 1371
1428
1372
1371
C-O of COO- carboxylic group ~1400 (Dmytryk et al., 2014; Chojnacka et al., 2005)
1317
1238
1319
1235
1323
1241
1318
1237
1318 1235
1319
1234
1323
1235
1319
1233
P=O of phosphoryl
1350-1188 (Stehfest et al., 2005;Feride et al., 2012)
- 1154
- 1151
1160 1057
1161
1055
1160
1057
1160
1055
C-O-C polysaccharides 1200-900 (Stehfest et al., 2005)
1068
902
1061
897
1063
1061
899
1039 897
897 1039
897 898
C-O of COO- carboxylic group C-O of COO- carboxylic group
1064-880 (Stehfest et al., 2005;Lambert et al., 1987)
- 809 - 780 810 810 810 809 NH2 of primary amines 760-860 (Lambert et al., 1987) 661 - - - 662 661 662 - C-OH of alcohols 620-680(Lambert et al., 1987) 597 593 599 603 602 606 602 603 N-C=O of amides 570-630 (Lambert et al., 1987)
* natural biomass
Fig. 1.Superposition of FTIR spectra for natural (black), enriched with Zn(II) (green), Cu(II) (pink) and
Mn(II) ions (blue) strawberry seeds
Fig. 2.Peak designation for strawberry seeds FTIR spectra (natural – black, enriched with Zn(II) – green,
Cu(II) ions – pink and Mn(II) ions – blue)
Fig.3.Superposition of FTIR spectra for natural (black), enriched with Zn(II) (green), Cu(II) (pink) and
Mn(II) ions (blue) raspberry seeds
Fig. 4.Peak designation for strawberry seeds FTIR spectra (natural – black, enriched with Zn(II) – green,
Cu(II) ions – pink and Mn(II) ions – blue)
3.3. Potentiometric titration
Biomass, after protonation, was titrated with 0.1 M NaOH. Titration curves were plotted for strawberry
(Figure 5) and raspberry (Figure8) seeds to identify the functional groups capable of cation exchange.1st
and 2nd derivative curves were analyzed – Fig. 6,9 and 7,10, respectively. The first derivative plots
(Figures 6 and 9) consist of the midpoint of successive amounts of NaOH added (Xadd) versus
ΔpH/ΔXadd. Reading the location of each peak on the x-axis gave the number of acidic groups on the
biomass surface (Murphy et al., 2007;Yalçın et al., 2012). From 2nd derivative curve, all crossing points
with x-axis were chosen from the population of Xadd values determined from 1st derivative. These points
are probable Xadd values for all measured pH at pKa points. The titration curve with probable pKa
alignment, assumed from 1st and 2nd derivative, is presented inFigure5 and 8 for strawberry and raspberry
seeds, respectively. The pKa value can directly give the approximate charged state of that functional
group at a specific solution pH (Satyanarayana et al., 2012). Functional groups present on cell surface
determined by potentiometric titration are presented in Table 4. Different functional groups participated
in metal ions binding, depending on pH: 2–5 carboxyl group, pH 5–9 carboxyl and phosphate group, pH
9–12 phosphate and hydroxyl (or amine) group (Chojnacka et al., 2005). In this study, post-extraction
residue of strawberry and raspberry seeds possessed several groups with distinguishable pKa. Dominating
groups were carboxyl, amine and hydroxyl.The biosorption process of Cu(II), Mn(II) and Zn(II) ions was
carried out at pH 5. Under these conditions carboxyl groups were deprotonated and therefore available for
metal ions. Hydroxyl and amino groups can play a significant role in metal binding at higher pH values
(Yalçın et al., 2012).Concentration of available groups at pH 5 was 0.397 and 0.265 meq/g for raspberry
and strawberry seeds, respectively. These values stays in correlation with biosorption capacity (q) of
tested biomass for Zn(II)(R2=0.923), Cu(II)(R2=0.989) and Mn(II)(R2=0.958) ions – Table 5.
Table 4. Functional group assigned to assumed pKa from 1st and 2nd derivative
Possible pKa
(raspberry seeds)
Possible pKa
(strawberry seeds)
Literature
(Chojnacka 2005;Fourest and Volesky
1996;Satyanarayana et al., 2012)
Functional group
3.481 3.337 2–4 Sulphate, nitrate
- 3.152 3.1 Terminal carboxyl
4.056
4.601
4.232
4.454
5.083
4–5 Carboxyl
5.697 5.834
6.778 6–7 Thiol
7.279 7.764 7 Phosphoryl
9.187
9.687
9.899
10.144
10.865
10.936
11.227
9.479
9.755
9.98
10.241
10.382
10.499
10.809
11.023
11.351
9–12 Amine and hydroxyl
Table 5.Comparison of biosorption capacity and Xad d at pH 5
Parameter Xadd at pH 5
(meq/g)
q based on Zn(II)
(meq/g)
q based on Mn(II)
(meq/g)
q based on Cu(II)
(meq/g)
Strawberry 0.397 0.157 0.183 0.397
Raspberry 0.265 0.146 0.090 0.302
R2 0.923 0.958 0.989
0.0 0.5 1.02
4
6
8
10
12
pH
Xadd
pH
0.16779, 3.1520.19427, 3.337
0.31789, 4.232
0.33555, 4.454
0.39738, 5.083
0.42387, 5.834
0.45036, 6.7780.46801, 7.764
0.52982, 9.4790.54748, 9.755
0.56514, 9.980.59163, 10.241
0.60929, 10.3820.62695, 10.499
0.68876, 10.809
0.75056, 11.023
0.90067, 11.351
Fig. 5. Titration curve of protonated strawberry seeds with probable pKa alignment, assumed from 1st and
2nd derivative of results
0.0 0.5 1.005
10152025303540455055606570
ΔpH/ΔXd
d
Xadd
1st deriv.
0.16779
0.19427
0.468010.45036
0.42387
0.397380.54748
0.565140.59163
0.609290.62695
0.688760.75056 0.90067
0.33555
0.31789
Fig. 6. First derivative potentiometric titration curve of protonated strawberry seeds
-2000
-1500
-1000
-500
0
500
1000
1500
2000
2500
3000
3500
4000
0.900670.75056
0.688760.62695
0.609290.59163
0.565140.54748
0.46801
0.45036
0.42387
0.39738
0.33555
Δ(Δp
H/ΔXd
d)/ΔXa
dd
Xadd
2nd deriv.
0.167790.19427
0.31789
Fig. 7. Second derivative potentiometric titration curve of protonated strawberry seeds
0.0 0.5 1.02
4
6
8
10
12
pH
Xadd
pH
0.18649, 3.481
0.22379, 4.056
0.25178, 4.601
0.27975, 5.697
0.31705, 7.279
0.39164, 9.187
0.43825, 9.6870.46623, 9.899
0.50352, 10.144 0.69931, 10.8650.73661, 10.936
0.89511, 11.227
Fig.8. Titration curve of protonated raspberry seeds with probable pKa alignment, assumed from 1st and
2nd derivative of results
0.0 0.5 1.00
5
10
15
20
25
30
35
40
45
50
ΔpH/ΔXd
d
Xadd
1st deriv.
0.22379
0.18649
0.25178
0.279750.31705
0.391640.43825
0.699310.73661
0.50352
0.46623
0.89511
Fig. 9. First derivative potentiometric titration curve of protonated raspberry seeds
-1000
-500
0
500
1000
1500
2000
2500
3000
0.89511
0.25178
Δ(Δp
H/ΔXd
d)/ΔXa
dd
Xadd
2nd deriv.
0.18649
0.22379
0.27975
0.31705
0.39164
0.438250.46623
0.50352
0.699310.73661
Fig.10. Second derivative potentiometric titration curve of protonated raspberry seeds
4. Conclusion
In this study, the surface chemical functional groups of new biosorbent (post-extraction residues of
strawberry and raspberry seed) were identified. This by-product of supercritical extraction of berries
seeds has a potential to be applied as a component of fertilizers. This approach fits the sustainable waste
management that encourages the recycling and recovery of waste that is produced. The role of the surface
chemistry of the biomass in biosorption process was investigatedusing FTIR and potentiometric titrations.
It was shown that both typesof biomass had good biosorption capacity, especially for Cu(II)
ions. The content of copper in the enriched biomass was 2 times higher than zinc and manganese in the
case of strawberry seeds, 5 times higher for manganese and more than two times higher for zinc in the
case of raspberry seeds. Potentiometric titration and FTIR technique showed that carboxyl, hydroxyl and
amino groups were dominating on the surface of the biosorbent. While the biosorption was carried out in pH
5, carboxyl groups participated mainly in the biosorption process. ICP-OES analysis of the biomass
confirmed that the main mechanism of the biosorption was ion exchange of micronutrients with K(I), Ca(II),
Mg(II) ions.
Acknowledgements
The work was supported by Polish National Science Centre, project no. 2012/05/E/ST8/03055 entitled:
Biosorption of metal ions to the biomass of seeds of berries.
References
Can, C., &Jianlong, W. (2007) Correlating metal ionic characteristics with biosorption capacity using QSAR
model. Chemosphere, 69, 1610-1616
Chojnacka, K., Chojnacki, A., &Górecka, H. (2005) Biosorption of Cr3+, Cd2+ and Cu2+ions by blue–green
algaeSpirulina sp.: kinetics, equilibrium and the mechanism of the process.Chemosphere, 59, 75-84
Chojnacka, K., Tuhy, Ł., Samoraj, M., Michalak, I., Witek-Krowiak, A., &Górecki, H. (2014) New biological
fertilizer components with micronutrients by biosorption. In: Advances in Fertilizer Technology (Shishir
Sinha, K.K. Pant, eds.). Studium Press LLC, USA, no. 24, 543–575
Davis, T.A., Volesky, B., &Mucci, A. (2003) A Review of the biochemistry of heavy metal biosorption by
brown algae. Water Res., 37(18), 4311-4330
Dmytryk, A., Saeid, A., & Chojnacka, K. (2014) Biosorption of microelements by Spirulina: towards
technology of mineral feed supplements.Sci. World J., doi:dx.doi.org/10.1155/2014/356328
Feride, S. &Haris P.I. (2012) Vibrational Spectroscopy in Diagnosis and Screening. Vol. 6. IOS Press
Fourest E, &Volesky B. (1996) Contribution of sulphonate groups and alginate to heavy metal biosorption by
the dry mass of Sargassumfluitans.Environ. Sci. Technol., 30, 277–282
Freshplaza (2014) http://www.freshplaza.com/article/126244/Worldwide-strawberry-production-up-13-
procent (access: 19 May 2015)
GUS. (2014) Wstępny szacunek głównych ziemiopłodów rolnych i ogrodniczych w 2014 r.
Hue, N.V., & Silva, J.A. (2000) organic soil amendments for sustainable agriculture: organic sources of
nitrogen, phosphorus, and potassium. In: Plant Nutrient Management in Hawaii’s Soils, Approaches for
Tropical and Subtropical Agriculture (Silva J.A., Uchida R., eds.), 15, 133-144
Juranic, Z., Zizak, Z., Tasic, S., Petrovic, S., Nidzovic, S., Leposavic, A., &Stanojkovic, T. (2005).
Antiproliferative action of water extracts of seeds or pulp of five different raspberry cultivars.Food
Chem., 93(1), 39-45
Lambert J.B., Shurvell H.F., &Cooks R.G. (1987) Introduction to Organic Spectroscopy. Macmillan; 1st
edition, New York, USA
Małecka, M., Rudzińska, M., Pachołek, B., &Wąsowicz, E. (2003) The effect of raspberry, black currant and
tomato seed extracts on oxyphytosterols formation in peanuts. Pol. J. Food Nutr. Sci., 12, 53-56
Michalak, I., Chojnacka, K., & Witek-Krowiak, A. (2013) State of the art for the biosorption process—a
review. Appl.Biochem.Biotechnol., 170(6), 1389-1416
Murphy, V., Hughes, H., &McLoughlin, P. (2007) Cu(II) binding by dried biomass of red, green and brown
macroalgae.Water Res., 41, 731-740
Nakonieczna, I., Bonikowski, R., Rój, E., Janczak, R., Kozłowski, K., &Dobrzyńska-Inger, A. (2014).
Fractionation of berry seed oils by countercurrant extraction with supercritical carbon dioxide. Przem.
Chem., 93(4), 485-488
Novagrim, (2010) http://www.novagrim.com/Pages/2000_2010_raspberry_statistics_EN.aspx (access: 19
May 2015)
Oomah, B. D., Ladet, S., Godfrey, D. V., Liang, J., & Girard, B. (2000). Characteristics of raspberry
(Rubusidaeus L.) seed oil. Food Chem., 69(2), 187-193
Samoraj, M., Tuhy, Ł., Rój E., &Chojnacka, K. (2014) Ocena właściwości nawozowych nowych
biokomponentów z mikroelementami w warunkach in vivo.Przem. Chem., 93(8), 1432-1436
Pagnanelli, F., Bornoroni, L., Moscardini, E. & Toro, L. (2006) Non electrostatic surface complexation
models for protons and lead(II) sorption onto single minerals and their mixture Chemosphere, 63(7),
1063-1073
Pagnanelli F., Mainelli S., & Toro L. (2008) New biosorbent materials for heavy metal removal: product
development guided by active site characterization. Water Res., 42(12), 2953-2962
Pagnanelli, F., Mainelli, S., Vegliò, F. & Toro, L. (2003) Heavy metal removal by olive pomace: adsorbent
characterisation and equilibrium modelling. Chem. Eng. Sci., 58(20), 4709-4717
Pagnanelli, F., PetrangeliPapini, M., Trifoni, M., Toro, L., &Vegliò, F. (2000) Biosorption of metals ions on
Arthrobacter sp.: biomass characterization and biosorption modeling. Environ. Sci. Technol., 34(13),
2773-2778.
Pagnanelli, F., Vegliò, F. & Toro, L. (2004) Modeling of the acid-base properties of natural and synthetic
adsorbent materials used for heavy metal removal from aqueous solutions. Chemosphere, 54(7), 905-
915
Parry, J., & Yu, L. (2004). Fatty acid content and antioxidant properties of cold‐pressed black raspberry seed
oil and meal. J. Food Sci., 69(3), 189-193
Satyanarayana, T., Anil P., &Bhavdish N.J. (2012) Microorganisms in environmental management: microbes
and environment. Springer Sciene& Business Media, 2012.
Schaub, S.M., &Leonard, J.J. (1996) Composting: An alternative waste management option for food
processing industries. Trends Food Sci. Technol., 7(8), 263-268
Stehfest, K., Toepel, J., &Wilhelm, C. (2005) The application of micro-FTIR spectroscopy to analyze nutrient
stress-related changes in biomass composition of phytoplankton algae.Plant Physiol. Biochem., 43, 717-
726
Tuhy, Ł., Samoraj, M., Michalak, I., & Chojnacka, K. (2014) The application of biosorption for
production of micronutrient fertilizers based on waste biomass. Appl. Biochem. Biotechnol., 174,
1376-1392
Yalçın, S., Sezer, S., Apak, R.(2012) Characterization and Lead(II), Cadmium(II), Nickel(II) biosorption of
dried marine brown macro algae Cystoseirabarbata. Environ. Sci. Pollut. Res., 9, 3118-3125
Yun, Y.S., Park, D., Park, J.M., &Volesky, B. (2001) Biosorption of trivalent chromium on the brown
seaweed biomass. Environ. Sci. Technol., 35(21), 4353-4358
Zafra‐Stone, S., Yasmin, T., Bagchi, M., Chatterjee, A., Vinson, J.A., &Bagchi, D. (2007) Berry
anthocyanins as novel antioxidants in human health and disease prevention. Mol.Nutr.&Food Res.,
51(6), 675-683