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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...

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Main Authors: Hassan, Nurfarhana, Ahmad, Tahir, M. Zain, Norhidayu, Awang, Siti Rahmah
Format: Article
Published: Nature Research 2021
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/95270/
http://dx.doi.org/10.1038/s41598-021-89358-2
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spelling my.utm.952702022-04-29T22:26:02Z http://eprints.utm.my/id/eprint/95270/ Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method Hassan, Nurfarhana Ahmad, Tahir M. Zain, Norhidayu Awang, Siti Rahmah QA Mathematics 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 Research 2021 Article PeerReviewed Hassan, Nurfarhana and Ahmad, Tahir and M. Zain, Norhidayu and Awang, Siti Rahmah (2021) Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method. Scientific Reports, 11 (1). p. 9793. ISSN 2045-2322 http://dx.doi.org/10.1038/s41598-021-89358-2
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Hassan, Nurfarhana
Ahmad, Tahir
M. Zain, Norhidayu
Awang, Siti Rahmah
Identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method
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 Article
author Hassan, Nurfarhana
Ahmad, Tahir
M. Zain, Norhidayu
Awang, Siti Rahmah
author_facet Hassan, Nurfarhana
Ahmad, Tahir
M. Zain, Norhidayu
Awang, Siti Rahmah
author_sort Hassan, Nurfarhana
title 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_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_sort identification of bovine, porcine and fish gelatin signatures using chemometrics fuzzy graph method
publisher Nature Research
publishDate 2021
url http://eprints.utm.my/id/eprint/95270/
http://dx.doi.org/10.1038/s41598-021-89358-2
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score 13.211869

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