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Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method
Gelatin is a protein substance that is widely used in food and pharmaceutical industries. Gelatin is mainly derived from bovine and porcine sources. Fish gelatin is becoming alternative source of gelatin due to concern on health issue and religious constraints. Numerous studies for identification of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105405/ https://www.ncbi.nlm.nih.gov/pubmed/33963261 http://dx.doi.org/10.1038/s41598-021-89358-2 |
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author | Hassan, Nurfarhana Ahmad, Tahir Zain, Norhidayu M. Awang, Siti Rahmah |
author_facet | Hassan, Nurfarhana Ahmad, Tahir Zain, Norhidayu M. Awang, Siti Rahmah |
author_sort | Hassan, Nurfarhana |
collection | PubMed |
description | Gelatin is a protein substance that is widely used in food and pharmaceutical industries. Gelatin is mainly derived from bovine and porcine sources. Fish gelatin is becoming alternative source of gelatin due to concern on health issue and religious constraints. Numerous studies for identification of gelatin sources have been reported. In this study, Fourier transform infrared (FTIR) spectroscopy was used in combination with chemometrics fuzzy autocatalytic set (c-FACS) to distinguish between bovine, porcine and fish gelatins. The gelatin spectra at Amide and 1600–1000 cm(−1) regions were analyzed using c-FACS and the results were compared to principal component analysis (PCA) and linear discriminant analysis (LDA). The results obtained from c-FACS method showed that each bovine, porcine and fish gelatin possessed dominant wavenumbers at 1470–1475 cm(−1), 1444–1450 cm(−1) and 1496–1500 cm(−1) respectively, which represent their unique signatures. Furthermore, a clear distinction for porcine gelatin was observed in coordinated FACS. The c-FACS method is rigor and faster than PCA and LDA in differentiating the gelatin sources. The novel method promises at least another chemometrics method for FTIR related analysis and the possibilities for other applications are endless. |
format | Online Article Text |
id | pubmed-8105405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81054052021-05-10 Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method Hassan, Nurfarhana Ahmad, Tahir Zain, Norhidayu M. Awang, Siti Rahmah Sci Rep Article Gelatin is a protein substance that is widely used in food and pharmaceutical industries. Gelatin is mainly derived from bovine and porcine sources. Fish gelatin is becoming alternative source of gelatin due to concern on health issue and religious constraints. Numerous studies for identification of gelatin sources have been reported. In this study, Fourier transform infrared (FTIR) spectroscopy was used in combination with chemometrics fuzzy autocatalytic set (c-FACS) to distinguish between bovine, porcine and fish gelatins. The gelatin spectra at Amide and 1600–1000 cm(−1) regions were analyzed using c-FACS and the results were compared to principal component analysis (PCA) and linear discriminant analysis (LDA). The results obtained from c-FACS method showed that each bovine, porcine and fish gelatin possessed dominant wavenumbers at 1470–1475 cm(−1), 1444–1450 cm(−1) and 1496–1500 cm(−1) respectively, which represent their unique signatures. Furthermore, a clear distinction for porcine gelatin was observed in coordinated FACS. The c-FACS method is rigor and faster than PCA and LDA in differentiating the gelatin sources. The novel method promises at least another chemometrics method for FTIR related analysis and the possibilities for other applications are endless. Nature Publishing Group UK 2021-05-07 /pmc/articles/PMC8105405/ /pubmed/33963261 http://dx.doi.org/10.1038/s41598-021-89358-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hassan, Nurfarhana Ahmad, Tahir Zain, Norhidayu M. Awang, Siti Rahmah Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
title | Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
title_full | Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
title_fullStr | Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
title_full_unstemmed | Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
title_short | Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
title_sort | identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105405/ https://www.ncbi.nlm.nih.gov/pubmed/33963261 http://dx.doi.org/10.1038/s41598-021-89358-2 |
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