Pyrolysis-compound specific isotope analysis (Py-CSIA) of ... · Pyrolysis-compound specific...

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Layla M. San-Emeterio (1), José M. de la Rosa (1), Nicasio T Jiménez-Morillo (2), and José A. González-Pérez (1) (1) Consejo Superior de Investigaciones Científicas (CSIC), Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Seville, Spain ([email protected]), (2) Laboratório HERCULES - Herança Cultural, Estudos e Salvaguarda, Universidade de Évora. Cultural heritage hold an artistic, social and economic value. Isotopic analysis provide a better understanding of decay and deterioration. This information allows to design effective conservation methodologies, as well as ensure long-term management strategies. Accurate isotopic characterization of organic materials, including polymers and biopolymers used in the past as construction, supporting or protective materials, will help to ameliorate the conservation practices for controlling deterioration and preventing key and current issues such as pollution, climate change. Small sample size: only a few miligrams of a single sample are required for a determination. Time saving: no pre-treatment nor extraction procedures are generally needed. Less handling: avoid experimental errors. Good reproducibility. Complex materials or mixtures (including biopolymers), with varying structures and origins can be analyzed. By using Py-CSIA, key compounds of heritage material for their conservation can be characterized. Py-CSIA results in an innovative approach in heritage science, providing tools for decisión-makers in this field. Py - GC - C/TC - IRMS : provides isotopic information 13 C δD δ 18 O δ 15 N) A double-shot/micro-furnace pyrolyzer (Frontier Laboratories, model 3030D). Individual volatile pyrolysis products separated by GC are directed to GC-Isolink System with combustion (C and N) and pyrolysis (H or O) micro-furnaces. Coupled to isotope ratio mass spectrometer, IRMS (Thermo Delta V Advantage) via a ConFlo IV universal interface unit. Gas chromatograph (Trace Ultra GC system). Pyrolysis - compound specific isotope analysis ( Py - CSIA) of polymers and biopolymers: possible applications in heritage conservation BACKGROUND CONTACT: ACKNOLEGMENTS: The authors wish to thank to Dr. Ana Z. Miller for encouraging the presentation of this work. This research has been funded by the Spanish Gov. ‘Ministerio de Ciencia , Innovación y Universidades’ under grant ref. BES–2017–079811 . Project CGL 2016 -78937 –Co-financed by FEDER Funds . Thanks to Desiré Monis and Alba Carmona for technical assistance METHODOLOGY: OUR INSTRUMENTS HIGHLIGHTS Py-CSIA BIOPOLYMERS: FINGERPRINTINGS © Ana Z. Miller Vilar de Frades Monastery (Barcelos, Portugal) APPLICATIONS δ15N Trophic levels. Evaluations of both diet pattern and provenances [3]. Elucidate agricultural production means. Pollution tracers (atmospheric contamination). δ13C Diet for humans and nutritional ecology [3]. Trace of ancient pottery: degraded lipids preserved [4]. Paleoenvironment and climate changes: e.g. dendrology. Identification of dominant mode of rock formation: e.g. origin of carbonates [5] . δ2H Both elements are linked to water; therefore, they are complimentary. Contraints on environmental processes: e.g. water scarcity in plants. Migration among humans, animals and plants: biogeography. Water uptake, which depends on altitude and latitude. Thus, it can be used to trace a geographic origin of organic materials [6]. Paleo-thermometry. δ18O Pyrolysis-compound specific isotope analysis (Py-CSIA) is a relatively novel analytical technique able to provide identification of organic compounds in different complex matrices [1, 2]. This technique also offer additional valuable information about nature and origin of the materials based on their isotopic composition. With this technique it is possible to make direct isotopic measurements of major organic matter elements (i.e. δ13C, δD, δ15N and also δ18O) of specific compounds. +11.2 ‰ +17.4 ‰ +15.3 ‰ +16.3 ‰ δ 15 N BULK = +12.2±0.1 ‰ (Air-N 2 ) +10.4 ‰ Py- 15 N-CSIA +18.2 ‰ δ 15 N CSIA = +15.0±3.0 ‰ (Air-N 2 ) Py- 13 C-CSIA −24.6 ‰ −22.5 ‰ −27.7 ‰ −27.8 ‰ −27.8 ‰ δ 13 C BULK = −22.6±0.2 ‰ (VPDB) −24.2 ‰ −23.0 ‰ δ 13 C CSIA =−25.4±2.3 ‰ (VPDB) CASE 1: Keratin (protein) 1 2 4 3 5 6 8 7 9 11 12 13 14 15 16 17 18 20 21 22 23 24 25 26 27 29 30 31 32 33 34 36 37 38 39+40 41 42 43 44 28 35 10 Py-GC/MS Indole Pro-Pro DKP Alkylamide C 22 C 24 C 26 Cholesterol FA C 18 Me-Indole Pro-Leu DKP 4 6 8 10 12 14 16 18 20 22 24 Time (min)--> 26 2 9 1 3 5 7 11 12 15 Alk Alk Sterol Alk POLYSACCHARIDS PHENOL LIGNIN LIKE: Polyphenolic domain FATTY ACIDS LIPIDS: Polyaliphatic domain FAME 2 4 6 8 10 13 FA Alk FA 14 Alk FA FA Alk FA Alk Alk FA Alk Alk 16 Alk Sterol Alk FA m/z 46 m/z 45 m/z 44 −24.6 −27.4 −27.8 −28.1 −27.0 −26.3 −27.3 −27.5 −26.3 −27.2 −27.4 −27.6 −27.3 −27.8 −27.7 −27.6 −27.2 −26.3 −28.0 −27.3 −27.7 −27.7 −28.3 −28.1 −28.1 −28.1 −28.3 −28.5 −28.1 −28.2 −27.6 −28.0 −30.0 −29.0 −28.0 −28.0 δ 13 C BULK = −27.2 ± 0.02 ‰ (VPDB) δ 13 C CSIA = −27.5 ± 1.4 ‰ (VPDB) CASE 2: Suberin (cork oak) Py- 13 C-CSIA Py-GC/MS 4 6 8 10 12 14 16 18 20 22 24 Time (min)--> 26 2 Py-GC/MS CASE 3: Lignin (wood) m/z 46 m/z 45 m/z 44 Py- 13 C-CSIA -29.7 -29.7 -29.4 -29.7 -30.5 -29.3 -29.0 -28.7 - 28.6 - 25.0 7 4 3 1 2 5 6 8 9 10 4 6 8 10 12 14 16 18 20 22 24 Time (min)--> 26 2 δ 13 C BULK = −30.54 ± 0.03 ‰ (VPDB) δ 13 C CSIA = −30.43 ± 1.5 ‰ (VPDB) REFERENCES: [1] González‐Pérez et al. (2016). Compound‐specific stable carbon isotopic signature of carbohydrate pyrolysis products from C3 and C4 plants. Journal of the Science of Food and Agriculture, 96(3), 948-953. [2] González-Pérez et al.. (2015). Pyrolysis-gas chromatography–isotope ratio mass spectrometry of polyethylene. Journal of Chromatography A, 1388, 236-243. [3] Gil et al. (2011). Stable isotopes and human diet in central western Argentina. Journal of Archaeological Science, 38(7), 1395-1404. [4 ] Mottram et al.. (1999). New chromatographic, mass spectrometric and stable isotope approaches to the classification of degraded animal fats preserved in archaeological pottery. Journal of Chromatography A, 833(2), 209-221. [5] Tambakopoulos, D., & Maniatis, Y. (2017). The marble of the Cyclades and its use in the Early Bronze Age. Early cycladic sculpture in context. Oxbow: Oxford and Philadelphia, 468-82. [6] von Holstein, I. C., & Makarewicz, C. A. (2016). Geographical variability in northern European sheep wool isotopic composition (δ13C, δ15N, δ2H values). Rapid Communications in Mass Spectrometry, 30(12), 1423-1434. . Check out our lab’s updates in ResearchGate Py - GC/ MS: provides structural information A conventional Py-GC/MS system (F. Labs 2020i ) + Agilent MSD 6890N) Layla M. San Emeterio | [email protected] Ph.D. Student POLYSACCHARIDS LIGNIN GUAYACIL UNIT (G) LIGNIN SYRINGIL UNIT (S) LIPIDS: fatty acids and wood extractives

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Page 1: Pyrolysis-compound specific isotope analysis (Py-CSIA) of ... · Pyrolysis-compound specific isotope analysis (Py-CSIA) is a relatively novel analytical technique able to provide

Layla M. San-Emeterio (1), José M. de la Rosa (1), Nicasio T Jiménez-Morillo (2), and José A. González-Pérez (1)(1) Consejo Superior de Investigaciones Científicas (CSIC), Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), Seville, Spain ([email protected]),

(2) Laboratório HERCULES - Herança Cultural, Estudos e Salvaguarda, Universidade de Évora.

► Cultural heritage hold an artistic, social and economic value.

► Isotopic analysis provide a better understanding of decay and deterioration.

► This information allows to design effective conservation methodologies, as

well as ensure long-term management strategies.

► Accurate isotopic characterization of organic materials, including polymers

and biopolymers used in the past as construction, supporting or protective

materials, will help to ameliorate the conservation practices for controlling

deterioration and preventing key and current issues such as pollution, climate

change.

✓ Small sample size: only a few miligrams of a single sample are required for a

determination.

✓ Time saving: no pre-treatment nor extraction procedures are generally needed.

✓ Less handling: avoid experimental errors.

✓ Good reproducibility.

✓ Complex materials or mixtures (including biopolymers), with varying structures

and origins can be analyzed.

✓ By using Py-CSIA, key compounds of heritage material for their conservation can

be characterized.

✓ Py-CSIA results in an innovative approach in heritage science, providing tools for

decisión-makers in this field.

Py-GC-C/TC-IRMS: provides isotopic information (δ13C δD δ18O δ15N)

A double-shot/micro-furnace pyrolyzer

(Frontier Laboratories, model 3030D).

Individual volatile pyrolysis products

separated by GC are directed to GC-Isolink

System with combustion (C and N) and

pyrolysis (H or O) micro-furnaces.

Coupled to isotope ratio mass spectrometer,

IRMS (Thermo Delta V Advantage) via a ConFlo

IV universal interface unit.

Gas chromatograph (Trace Ultra GC system).

Pyrolysis-compound specific isotope analysis (Py-CSIA) of polymers and biopolymers: possible applications in heritage conservation

BACKGROUND

CONTACT:

ACKNOLEGMENTS:The authors wish to thank to Dr. Ana Z. Miller for encouraging the presentation of this work.

This research has been funded by the Spanish Gov. ‘Ministerio de Ciencia , Innovación y Universidades’ under grant ref. BES–2017–079811 . Project

CGL 2016 -78937 –Co-financed by FEDER Funds . Thanks to Desiré Monis and Alba Carmona for technical assistance

METHODOLOGY: OUR INSTRUMENTS

HIGHLIGHTS

Py-CSIA BIOPOLYMERS: FINGERPRINTINGS

© Ana Z. Miller

Vilar de Frades Monastery (Barcelos, Portugal)

APPLICATIONS

δ15N

• Trophic levels.

• Evaluations of both diet pattern and provenances [3].

• Elucidate agricultural production means.

• Pollution tracers (atmospheric contamination).

δ13C

• Diet for humans and nutritional ecology [3].

• Trace of ancient pottery: degraded lipids preserved [4].

• Paleoenvironment and climate changes: e.g. dendrology.

• Identification of dominant mode of rock formation: e.g. origin of

carbonates [5] .

δ2H• Both elements are linked to water; therefore, they are complimentary.

• Contraints on environmental processes: e.g. water scarcity in plants.

• Migration among humans, animals and plants: biogeography.

• Water uptake, which depends on altitude and latitude.

• Thus, it can be used to trace a geographic origin of organic materials [6].

• Paleo-thermometry.δ18O

Pyrolysis-compound specific isotope analysis (Py-CSIA) is a relatively novel analytical

technique able to provide identification of organic compounds in different complex

matrices [1, 2]. This technique also offer additional valuable information about nature

and origin of the materials based on their isotopic composition. With this technique it

is possible to make direct isotopic measurements of major organic matter elements

(i.e. δ13C, δD, δ15N and also δ18O) of specific compounds.

+11.2 ‰

+17.4 ‰

+15.3 ‰

+16.3 ‰

δ15NBULK= +12.2±0.1 ‰ (Air-N2)

+10.4 ‰

Py-15N-CSIA

+18.2 ‰

δ15NCSIA= +15.0±3.0 ‰ (Air-N2)

Py-13C-CSIA

−24.6 ‰

−22.5 ‰

−27.7 ‰ −27.8 ‰

−27.8 ‰

δ13CBULK= −22.6±0.2 ‰ (VPDB)

−24.2 ‰

−23.0 ‰

δ13CCSIA =−25.4±2.3 ‰ (VPDB)

CA

SE 1

: K

era

tin

(pro

tein

)

1 2 43

5 6

8

79

11

12

13

14

15 1617

18 20

21

22

23

24 25

26

27

29

3031

32 33 34 36

3738

39+40

41

42

43

4428

3510

Py-GC/MS

IndolePro-Pro DKP

Alkylamide C22 C24 C26

CholesterolFA C18

Me-Indole

Pro-Leu DKP

4 6 8 10 12 14 16 18 20 22 24

Time (min)-->

262

9

1 3

5 7

11 12

15 Alk

Alk

Sterol

Alk

POLYSACCHARIDS

PHENOL

LIGNIN LIKE: Polyphenolic domain

FATTY ACIDS

LIPIDS: Polyaliphatic domain

FAME

2

4 6

8

10

13 FA

Alk

FA

14

Alk

FAFA

Alk

FA

AlkAlk

FA

Alk Alk

16

Alk

Sterol

Alk

FA

m/z 46

m/z 45

m/z 44

−24.6

−27.4

−27.8

−28.1

−27.0

−26.3

−27.3

−27.5

−26.3

−27.2

−27.4 −

27.6

−27.3

−27.8

−27.7

−27.6

−27.2

−26.3

−28.0

−27.3

−27.7

−27.7

−28.3

−28.1

−28.1

−28.1

−28.3

−28.5

−28.1

−28.2

−27.6

−28.0

−30.0

−29.0

−28.0

−28.0

δ13CBULK = −27.2 ± 0.02 ‰ (VPDB)

δ13CCSIA = −27.5 ± 1.4 ‰ (VPDB)

CA

SE 2

: Suberi

n(c

ork

oak)

Py-13C-CSIA

Py-GC/MS

4 6 8 10 12 14 16 18 20 22 24

Time (min)-->

262

Py-GC/MS

CA

SE 3

: Lig

nin

(wood)

m/z 46

m/z 45

m/z 44Py-13C-CSIA

-29.7

-29.7

-29.4

-29.7

-30.5

-29.3

-29.0-2

8.7

-28.6

-25.0

7

43

1

2

5

6

8

9

10

4 6 8 10 12 14 16 18 20 22 24

Time (min)-->

262

δ13CBULK = −30.54 ± 0.03 ‰ (VPDB)

δ13CCSIA = −30.43 ± 1.5 ‰ (VPDB)

REFERENCES:[1] González‐Pérez et al. (2016). Compound‐specific stable carbon isotopic signature of carbohydrate pyrolysis products from C3 and C4 plants. Journal of the Science of Food and Agriculture, 96(3), 948-953.

[2] González-Pérez et al.. (2015). Pyrolysis-gas chromatography–isotope ratio mass spectrometry of polyethylene. Journal of Chromatography A, 1388, 236-243.

[3] Gil et al. (2011). Stable isotopes and human diet in central western Argentina. Journal of Archaeological Science, 38(7), 1395-1404.

[4] Mottram et al.. (1999). New chromatographic, mass spectrometric and stable isotope approaches to the classification of degraded animal fats preserved in archaeological pottery. Journal of Chromatography A, 833(2), 209-221.

[5] Tambakopoulos, D., & Maniatis, Y. (2017). The marble of the Cyclades and its use in the Early Bronze Age. Early cycladic sculpture in context. Oxbow: Oxford and Philadelphia, 468-82.

[6] von Holstein, I. C., & Makarewicz, C. A. (2016). Geographical variability in northern European sheep wool isotopic composition (δ13C, δ15N, δ2H values). Rapid Communications in Mass Spectrometry, 30(12), 1423-1434.

.

Check out our lab’s updates

in ResearchGate

Py-GC/MS: provides structural information

A conventional Py-GC/MS system (F. Labs 2020i )

+ Agilent MSD 6890N)

Layla M. San Emeterio | [email protected]

Ph.D. StudentPOLYSACCHARIDS

LIGNIN GUAYACIL UNIT (G)

LIGNIN SYRINGIL UNIT (S)

LIPIDS: fatty acids and wood extractives