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Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin

Fourier transform infrared (FTIR) spectroscopy is one of the established techniques in food adulteration analysis. The issue of halal authenticity of food and pharmaceutical products has become a concern among Muslims due to fraud and unknown sources of ingredients. The most common non-halal ingredi...

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Main Author: Hassan, Nurfarhana
Format: Thesis
Language:English
Published: 2021
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/id/eprint/101944/1/NurfarhanaHassanPFS2021.pdf
http://eprints.utm.my/id/eprint/101944/
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spelling my.utm.1019442023-07-25T09:43:05Z http://eprints.utm.my/id/eprint/101944/ Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin Hassan, Nurfarhana QD Chemistry Fourier transform infrared (FTIR) spectroscopy is one of the established techniques in food adulteration analysis. The issue of halal authenticity of food and pharmaceutical products has become a concern among Muslims due to fraud and unknown sources of ingredients. The most common non-halal ingredient found in some food and pharmaceuticals products is porcine gelatin. In addition, there are other sources of gelatin such as bovine and fish. Fuzzy autocatalytic set (FACS) is a concept that incorporates fuzziness and autocatalytic set. The study related to the characteristics and uses of FACS method is progressing significantly, especially in the area of chemical engineering and also signal and network analysis. However, in this research, FACS is implemented on FTIR spectra of bovine, porcine, and fish gelatins since their spectra exhibit very similar patterns and thus further analysis is required to differentiate them. The spectra of the gelatin are analyzed using a new developed chemometrics technique, namely chemometrics FACS (c-FACS). Several definitions and theorems are introduced to furnish the c-FACS technique. A coded algorithm called Multisystem Dynamic Identification of Gelatin Sources is built for the technique. The algorithm is executed on the gelatins’ spectra. The results showed that each gelatin has a unique range signature of wavenumbers and porcine gelatin particularly showed distinct pattern compared to others. The efficiency and the rigorousness of the c-FACS are established when compared to the principal component analysis (PCA) method. 2021 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/101944/1/NurfarhanaHassanPFS2021.pdf Hassan, Nurfarhana (2021) Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin. PhD thesis, Universiti Teknologi Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:146049
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/
language English
topic QD Chemistry
spellingShingle QD Chemistry
Hassan, Nurfarhana
Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
description Fourier transform infrared (FTIR) spectroscopy is one of the established techniques in food adulteration analysis. The issue of halal authenticity of food and pharmaceutical products has become a concern among Muslims due to fraud and unknown sources of ingredients. The most common non-halal ingredient found in some food and pharmaceuticals products is porcine gelatin. In addition, there are other sources of gelatin such as bovine and fish. Fuzzy autocatalytic set (FACS) is a concept that incorporates fuzziness and autocatalytic set. The study related to the characteristics and uses of FACS method is progressing significantly, especially in the area of chemical engineering and also signal and network analysis. However, in this research, FACS is implemented on FTIR spectra of bovine, porcine, and fish gelatins since their spectra exhibit very similar patterns and thus further analysis is required to differentiate them. The spectra of the gelatin are analyzed using a new developed chemometrics technique, namely chemometrics FACS (c-FACS). Several definitions and theorems are introduced to furnish the c-FACS technique. A coded algorithm called Multisystem Dynamic Identification of Gelatin Sources is built for the technique. The algorithm is executed on the gelatins’ spectra. The results showed that each gelatin has a unique range signature of wavenumbers and porcine gelatin particularly showed distinct pattern compared to others. The efficiency and the rigorousness of the c-FACS are established when compared to the principal component analysis (PCA) method.
format Thesis
author Hassan, Nurfarhana
author_facet Hassan, Nurfarhana
author_sort Hassan, Nurfarhana
title Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
title_short Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
title_full Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
title_fullStr Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
title_full_unstemmed Chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
title_sort chemometrics fuzzy autocatalytic set method for halal authentication of gelatin
publishDate 2021
url http://eprints.utm.my/id/eprint/101944/1/NurfarhanaHassanPFS2021.pdf
http://eprints.utm.my/id/eprint/101944/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:146049
_version_ 1772811133376266240
score 13.211869

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