Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile

Authenticity is an important issue in food industry. Tampering the authenticity of food product involves the adulteration of products with certain material. Various authentication techniques for detection of adulteration have been developed in line with the advent of current technology. Of particula...

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Main Authors: Saputra, Irwan, Jaswir, Irwandi, Akmeliawati, Rini
Format: Article
Language:English
English
Published: Indonesian Society for Knowledge and Human Development (INSIGHT) 2018
Subjects:
Online Access:http://irep.iium.edu.my/55708/
http://irep.iium.edu.my/55708/
http://irep.iium.edu.my/55708/
http://irep.iium.edu.my/55708/1/55708_Identification%20of%20Pig%20Adulterant.pdf
http://irep.iium.edu.my/55708/2/55708_Identification%20of%20Pig%20Adulterant_SCOPUS.pdf
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recordtype eprints
spelling iium-557082019-07-15T01:16:36Z http://irep.iium.edu.my/55708/ Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile Saputra, Irwan Jaswir, Irwandi Akmeliawati, Rini TP248.13 Biotechnology Authenticity is an important issue in food industry. Tampering the authenticity of food product involves the adulteration of products with certain material. Various authentication techniques for detection of adulteration have been developed in line with the advent of current technology. Of particular interest, Infrared (IR) spectroscopy; a rapid and non-destructive technique allowing the screening of a large number of samples has been shown to be able to detect pig derivatives in meat products. Following this, the present study aims to identify pig adulteration in different mixture of fat samples and some selected food; based on wavelength biomarker obtained from FTIR coupled with PCA analysis. Twenty-six fats at two frequencies along the graph (1236 and 3007 nm) were studied including samples representing Non Halal Food A (NHFA) fat, Halal Food A(HFA) fat and Non Halal Food B (NHFB) fat. At wavelength 1236 and 3007 nm along the spectrum; NHFA, HA and NHFB fat samples were easily identified at visibly good distance compared to other fat samples. The first two samples; NHFA and NHFB were located very close to PF (Pig Fat) indicating that NHFA and NHFB samples contained pork fat while HA was located closer to CF, indicating that the sample possibly contained chicken fat. To this end, FTIR coupled with PCA has been shown to be a powerful tool to detect adulteration in meat products and as such can be recommended for authentication purposes. © 2018 Insight Society. Indonesian Society for Knowledge and Human Development (INSIGHT) 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/55708/1/55708_Identification%20of%20Pig%20Adulterant.pdf application/pdf en http://irep.iium.edu.my/55708/2/55708_Identification%20of%20Pig%20Adulterant_SCOPUS.pdf Saputra, Irwan and Jaswir, Irwandi and Akmeliawati, Rini (2018) Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile. International Journal on Advanced Science, Engineering and Information Technology, 8 (6). pp. 2341-2348. ISSN 2088-5334 E-ISSN 2460-6952 http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7689 10.18517
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TP248.13 Biotechnology
spellingShingle TP248.13 Biotechnology
Saputra, Irwan
Jaswir, Irwandi
Akmeliawati, Rini
Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile
description Authenticity is an important issue in food industry. Tampering the authenticity of food product involves the adulteration of products with certain material. Various authentication techniques for detection of adulteration have been developed in line with the advent of current technology. Of particular interest, Infrared (IR) spectroscopy; a rapid and non-destructive technique allowing the screening of a large number of samples has been shown to be able to detect pig derivatives in meat products. Following this, the present study aims to identify pig adulteration in different mixture of fat samples and some selected food; based on wavelength biomarker obtained from FTIR coupled with PCA analysis. Twenty-six fats at two frequencies along the graph (1236 and 3007 nm) were studied including samples representing Non Halal Food A (NHFA) fat, Halal Food A(HFA) fat and Non Halal Food B (NHFB) fat. At wavelength 1236 and 3007 nm along the spectrum; NHFA, HA and NHFB fat samples were easily identified at visibly good distance compared to other fat samples. The first two samples; NHFA and NHFB were located very close to PF (Pig Fat) indicating that NHFA and NHFB samples contained pork fat while HA was located closer to CF, indicating that the sample possibly contained chicken fat. To this end, FTIR coupled with PCA has been shown to be a powerful tool to detect adulteration in meat products and as such can be recommended for authentication purposes. © 2018 Insight Society.
format Article
author Saputra, Irwan
Jaswir, Irwandi
Akmeliawati, Rini
author_facet Saputra, Irwan
Jaswir, Irwandi
Akmeliawati, Rini
author_sort Saputra, Irwan
title Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile
title_short Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile
title_full Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile
title_fullStr Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile
title_full_unstemmed Identification of pig adulterant in mixture of fat samples and selected foods based on FTIR-PCA wavelength biomarker profile
title_sort identification of pig adulterant in mixture of fat samples and selected foods based on ftir-pca wavelength biomarker profile
publisher Indonesian Society for Knowledge and Human Development (INSIGHT)
publishDate 2018
url http://irep.iium.edu.my/55708/
http://irep.iium.edu.my/55708/
http://irep.iium.edu.my/55708/
http://irep.iium.edu.my/55708/1/55708_Identification%20of%20Pig%20Adulterant.pdf
http://irep.iium.edu.my/55708/2/55708_Identification%20of%20Pig%20Adulterant_SCOPUS.pdf
first_indexed 2023-09-18T21:18:40Z
last_indexed 2023-09-18T21:18:40Z
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