Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis

Adulteration of edible oil by replacing or admixing cheaper or waste oil is an irresponsible act motivated by profiteering. A more sinister act of dissolving inedible plastic materials in hot oil during frying to enhance the crispiness and prolong the shelf life of deep-fried snacks has been alleged...

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Main Authors: Ismail, Dzulkiflee, Rahimi, Aliyalina, Wan Ishak, Wan Rosli, Mahat, Naji Arafat, Mat Desa, Wan Nur Syuhaila
Format: Article
Published: Malaysian Society of Analytical Sciences 2021
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Online Access:http://eprints.utm.my/id/eprint/94024/
https://mjas.analis.com.my/mjas/v25_n3/pdf/Dzulkiflee_25_3_3.pdf
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spelling my.utm.940242022-02-28T13:31:13Z http://eprints.utm.my/id/eprint/94024/ Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis Ismail, Dzulkiflee Rahimi, Aliyalina Wan Ishak, Wan Rosli Mahat, Naji Arafat Mat Desa, Wan Nur Syuhaila QD Chemistry Adulteration of edible oil by replacing or admixing cheaper or waste oil is an irresponsible act motivated by profiteering. A more sinister act of dissolving inedible plastic materials in hot oil during frying to enhance the crispiness and prolong the shelf life of deep-fried snacks has been alleged. In this study, a protocol using ATR-FTIR spectroscopy combined with principal component analysis (PCA) for detection of inedible plastic materials in palm cooking oil is presented. To achieve this, palm cooking oil samples purchased from convenience stores were heated and adulterated either with low-density polyethylene (LDPE), high-density polyethylene (HDPE) or polypropylene (PP). The resultant spectra from 4000-600 cm-1 were subjected to direct visual examinations prior to PCA. Detection of plastic materials in the samples from direct visual examinations of the resultant spectra was difficult as all samples revealed similar spectra dominated by major absorption bands at 2922 cm-1, 2853 cm-1, 1740 cm-1, 1465 cm-1, 1377 cm-1 and 721 cm-1, which were typical of triacylglycerols. Despite the similarities, the detection was possible when the resultant spectra were subjected to PCA. The results demonstrated the potential of ATR-FTIR spectroscopy combined with PCA for the detection of inedible plastic adulterated palm cooking oil. Malaysian Society of Analytical Sciences 2021-06 Article PeerReviewed Ismail, Dzulkiflee and Rahimi, Aliyalina and Wan Ishak, Wan Rosli and Mahat, Naji Arafat and Mat Desa, Wan Nur Syuhaila (2021) Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis. Malaysian Journal of Analytical Sciences, 25 (3). pp. 388-398. ISSN 1394-2506 https://mjas.analis.com.my/mjas/v25_n3/pdf/Dzulkiflee_25_3_3.pdf
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 QD Chemistry
spellingShingle QD Chemistry
Ismail, Dzulkiflee
Rahimi, Aliyalina
Wan Ishak, Wan Rosli
Mahat, Naji Arafat
Mat Desa, Wan Nur Syuhaila
Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
description Adulteration of edible oil by replacing or admixing cheaper or waste oil is an irresponsible act motivated by profiteering. A more sinister act of dissolving inedible plastic materials in hot oil during frying to enhance the crispiness and prolong the shelf life of deep-fried snacks has been alleged. In this study, a protocol using ATR-FTIR spectroscopy combined with principal component analysis (PCA) for detection of inedible plastic materials in palm cooking oil is presented. To achieve this, palm cooking oil samples purchased from convenience stores were heated and adulterated either with low-density polyethylene (LDPE), high-density polyethylene (HDPE) or polypropylene (PP). The resultant spectra from 4000-600 cm-1 were subjected to direct visual examinations prior to PCA. Detection of plastic materials in the samples from direct visual examinations of the resultant spectra was difficult as all samples revealed similar spectra dominated by major absorption bands at 2922 cm-1, 2853 cm-1, 1740 cm-1, 1465 cm-1, 1377 cm-1 and 721 cm-1, which were typical of triacylglycerols. Despite the similarities, the detection was possible when the resultant spectra were subjected to PCA. The results demonstrated the potential of ATR-FTIR spectroscopy combined with PCA for the detection of inedible plastic adulterated palm cooking oil.
format Article
author Ismail, Dzulkiflee
Rahimi, Aliyalina
Wan Ishak, Wan Rosli
Mahat, Naji Arafat
Mat Desa, Wan Nur Syuhaila
author_facet Ismail, Dzulkiflee
Rahimi, Aliyalina
Wan Ishak, Wan Rosli
Mahat, Naji Arafat
Mat Desa, Wan Nur Syuhaila
author_sort Ismail, Dzulkiflee
title Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
title_short Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
title_full Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
title_fullStr Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
title_full_unstemmed Classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
title_sort classification model for detection and discrimination of inedible plastic adulterated palm cooking oil using atr-ftir spectroscopy combined with principal component analysis
publisher Malaysian Society of Analytical Sciences
publishDate 2021
url http://eprints.utm.my/id/eprint/94024/
https://mjas.analis.com.my/mjas/v25_n3/pdf/Dzulkiflee_25_3_3.pdf
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score 13.160551