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Compound-specific stable carbon isotopic signature of carbohydrate pyrolysis products from C3 and C4 plants.
González-Pérez, José A; Jiménez-Morillo, Nicasio T; de la Rosa, José M; Almendros, Gonzalo; González-Vila, Francisco J.
Afiliação
  • González-Pérez JA; IRNAS-CSIC, Av. Reina Mercedes, 10, 41012, -Seville, Spain.
  • Jiménez-Morillo NT; IRNAS-CSIC, Av. Reina Mercedes, 10, 41012, -Seville, Spain.
  • de la Rosa JM; IRNAS-CSIC, Av. Reina Mercedes, 10, 41012, -Seville, Spain.
  • Almendros G; MNCN-CSIC, c/Serrano 115-B, 28006, -Madrid, Spain.
  • González-Vila FJ; IRNAS-CSIC, Av. Reina Mercedes, 10, 41012, -Seville, Spain.
J Sci Food Agric ; 96(3): 948-53, 2016 Feb.
Article em En | MEDLINE | ID: mdl-25766868
ABSTRACT

BACKGROUND:

Pyrolysis-compound specific isotopic analysis (Py-CSIA Py-GC-(FID)-C-IRMS) is a relatively novel technique that allows on-line quantification of stable isotope proportions in chromatographically separated products released by pyrolysis. Validation of the Py-CSIA technique is compulsory for molecular traceability in basic and applied research. In this work, commercial sucrose from C4 (sugarcane) and C3 (sugarbeet) photosystem plants and admixtures were studied using analytical pyrolysis (Py-GC/MS), bulk δ(13)C IRMS and δ(13)C Py-CSIA.

RESULTS:

Major pyrolysis compounds were furfural (F), furfural-5-hydroxymethyl (HMF) and levoglucosan (LV). Bulk and main pyrolysis compound δ(13)C (‰) values were dependent on plant origin C3 (F, -24.65 ± 0.89; HMF, -22.07 ± 0.41‰; LV, -21.74 ± 0.17‰) and C4 (F, -14.35 ± 0.89‰; HMF, -11.22 ± 0.54‰; LV, -11.44 ± 1.26‰). Significant regressions were obtained for δ(13)C of bulk and pyrolysis compounds in C3 and C4 admixtures. Furfural (F) was found (13)C depleted with respect to bulk and HMF and LV, indicating the incorporation of the light carbon atom in position 6 of carbohydrates in the furan ring after pyrolysis.

CONCLUSION:

This is the first detailed report on the δ(13)C signature of major pyrolytically generated carbohydrate-derived molecules. The information provided by Py-CSIA is valuable for identifying source marker compounds of use in food science/fraud detection or in environmental research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Isótopos de Carbono Limite: Humans Idioma: En Revista: J Sci Food Agric Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Isótopos de Carbono Limite: Humans Idioma: En Revista: J Sci Food Agric Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Espanha