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Geographical traceability of gelatin in China using stable isotope ratio analysis

Geographical traceability is crucial to the quality and safety control of gelatin. However, currently, methods for gelatin traceability have not been established anywhere in the world. This study aimed to investigate the possibility of differentiating the geographical origins of gelatin from differe...

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Autores principales: Li, Shuang, Jiang, Di, Li, Jinglin, Ma, Yuhua, Yao, Jian, Du, Lin, Xu, Yisheng, Qian, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978747/
https://www.ncbi.nlm.nih.gov/pubmed/36875856
http://dx.doi.org/10.3389/fnut.2023.1116049
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author Li, Shuang
Jiang, Di
Li, Jinglin
Ma, Yuhua
Yao, Jian
Du, Lin
Xu, Yisheng
Qian, Yuan
author_facet Li, Shuang
Jiang, Di
Li, Jinglin
Ma, Yuhua
Yao, Jian
Du, Lin
Xu, Yisheng
Qian, Yuan
author_sort Li, Shuang
collection PubMed
description Geographical traceability is crucial to the quality and safety control of gelatin. However, currently, methods for gelatin traceability have not been established anywhere in the world. This study aimed to investigate the possibility of differentiating the geographical origins of gelatin from different regions in China using stable isotope technology. To achieve this objective, 47 bovine stick bone samples from three different regions (Inner Mongolia, Shandong, and Guangxi, respectively) in China were collected, and gelatin was extracted from these bones using the enzymatic method. The fingerprint characteristics of stable isotopes of δ(13)C, δ(15)N, and δ(2)H of gelatin from different regions in China were studied. Moreover, isotopic changes from the bone to gelatin during the processing were examined to evaluate the effectiveness of these factors as origin indicators. The results of the one-way analysis of variance (ANOVA) showed that the δ(13)C, δ(15)N, and δ(2)H of gelatin from different regions display significant differences, and using the linear discriminant analysis (LDA), the correct differentiation of origin reached 97.9%. Certain differences in stable isotope ratios were observed during the processing of bone to gelatin samples. Nonetheless, the fractionation effect caused by the processing of bone to gelatin samples was not sufficient to influence the identification of gelatin from different origins, which proves that δ(13)C, δ(15)N, and δ(2)H are effective origin indicators of gelatin. In conclusion, the stable isotope ratio analysis combined with the chemometric analysis can be used as a reliable tool for identifying gelatin traceability.
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spelling pubmed-99787472023-03-03 Geographical traceability of gelatin in China using stable isotope ratio analysis Li, Shuang Jiang, Di Li, Jinglin Ma, Yuhua Yao, Jian Du, Lin Xu, Yisheng Qian, Yuan Front Nutr Nutrition Geographical traceability is crucial to the quality and safety control of gelatin. However, currently, methods for gelatin traceability have not been established anywhere in the world. This study aimed to investigate the possibility of differentiating the geographical origins of gelatin from different regions in China using stable isotope technology. To achieve this objective, 47 bovine stick bone samples from three different regions (Inner Mongolia, Shandong, and Guangxi, respectively) in China were collected, and gelatin was extracted from these bones using the enzymatic method. The fingerprint characteristics of stable isotopes of δ(13)C, δ(15)N, and δ(2)H of gelatin from different regions in China were studied. Moreover, isotopic changes from the bone to gelatin during the processing were examined to evaluate the effectiveness of these factors as origin indicators. The results of the one-way analysis of variance (ANOVA) showed that the δ(13)C, δ(15)N, and δ(2)H of gelatin from different regions display significant differences, and using the linear discriminant analysis (LDA), the correct differentiation of origin reached 97.9%. Certain differences in stable isotope ratios were observed during the processing of bone to gelatin samples. Nonetheless, the fractionation effect caused by the processing of bone to gelatin samples was not sufficient to influence the identification of gelatin from different origins, which proves that δ(13)C, δ(15)N, and δ(2)H are effective origin indicators of gelatin. In conclusion, the stable isotope ratio analysis combined with the chemometric analysis can be used as a reliable tool for identifying gelatin traceability. Frontiers Media S.A. 2023-02-16 /pmc/articles/PMC9978747/ /pubmed/36875856 http://dx.doi.org/10.3389/fnut.2023.1116049 Text en Copyright © 2023 Li, Jiang, Li, Ma, Yao, Du, Xu and Qian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Li, Shuang
Jiang, Di
Li, Jinglin
Ma, Yuhua
Yao, Jian
Du, Lin
Xu, Yisheng
Qian, Yuan
Geographical traceability of gelatin in China using stable isotope ratio analysis
title Geographical traceability of gelatin in China using stable isotope ratio analysis
title_full Geographical traceability of gelatin in China using stable isotope ratio analysis
title_fullStr Geographical traceability of gelatin in China using stable isotope ratio analysis
title_full_unstemmed Geographical traceability of gelatin in China using stable isotope ratio analysis
title_short Geographical traceability of gelatin in China using stable isotope ratio analysis
title_sort geographical traceability of gelatin in china using stable isotope ratio analysis
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978747/
https://www.ncbi.nlm.nih.gov/pubmed/36875856
http://dx.doi.org/10.3389/fnut.2023.1116049
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