Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics

In Malaysia, repeated use of cooking oil in deep frying, especially refined, bleached and deodorised palm oil (RBDPO), is common. The adulteration of RBDPO with used oil has been studied with frying simulation using different kinds of meats, namely beef, fish, mutton, and pork. The oil underwent fry...

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Main Author:	Ng, Jing Sheng
Format:	Thesis
Language:	English
Published:	2021
Subjects:	T1-995 Technology(General)
Online Access:	http://eprints.usm.my/53741/1/NG%20JING%20SHENG%20-%20TESIS24.pdf
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id	my-usm-ep.53741
record_format	uketd_dc
spelling	my-usm-ep.537412022-07-31T16:25:52Z Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics 2021-10 Ng, Jing Sheng T1-995 Technology(General) In Malaysia, repeated use of cooking oil in deep frying, especially refined, bleached and deodorised palm oil (RBDPO), is common. The adulteration of RBDPO with used oil has been studied with frying simulation using different kinds of meats, namely beef, fish, mutton, and pork. The oil underwent frying for 25 cycles, at 180 ºC, 10 minutes per cycle. Then, used oil was sampled at the 5th, 10th, 15th, 20th, and 25th frying cycles. Admixture of pure oil with used oil was done at 1%, 5%, and 10% (mass/mass) concentrations. All the pure, admixed, and used oil were evaluated with untargeted screening analysis, near-infrared spectroscopy (NIRs), mid-infrared spectroscopy (MIRs), and targeted analysis, gas chromatography coupled with flame ionisation detector (GC-FID). NIR and MIR spectra and fatty acid diagnostic ratio (DR) composed of fatty acid abundance were obtained. The variation between pure and used oil of the same meat type was visualized with principal component analysis (PCA). Besides, the 5th frying cycle's used oil showed a significant difference to the pure oil in the PCA score plot. The orthogonal partial least square discriminant analysis (OPLS-DA) of the NIR models had successfully identified used and admixed oil from the pure oil. Next, in the MIR model, there was one misclassification in Beef. Lastly, in fatty acid diagnostic ratio models, Beef and Fish had one misclassification of pure oil, respectively. 2021-10 Thesis http://eprints.usm.my/53741/ http://eprints.usm.my/53741/1/NG%20JING%20SHENG%20-%20TESIS24.pdf application/pdf en public masters Universiti Sains Malaysia. Pusat Pengajian Teknologi Industri
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T1-995 Technology(General)
spellingShingle	T1-995 Technology(General) Ng, Jing Sheng Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics
description	In Malaysia, repeated use of cooking oil in deep frying, especially refined, bleached and deodorised palm oil (RBDPO), is common. The adulteration of RBDPO with used oil has been studied with frying simulation using different kinds of meats, namely beef, fish, mutton, and pork. The oil underwent frying for 25 cycles, at 180 ºC, 10 minutes per cycle. Then, used oil was sampled at the 5th, 10th, 15th, 20th, and 25th frying cycles. Admixture of pure oil with used oil was done at 1%, 5%, and 10% (mass/mass) concentrations. All the pure, admixed, and used oil were evaluated with untargeted screening analysis, near-infrared spectroscopy (NIRs), mid-infrared spectroscopy (MIRs), and targeted analysis, gas chromatography coupled with flame ionisation detector (GC-FID). NIR and MIR spectra and fatty acid diagnostic ratio (DR) composed of fatty acid abundance were obtained. The variation between pure and used oil of the same meat type was visualized with principal component analysis (PCA). Besides, the 5th frying cycle's used oil showed a significant difference to the pure oil in the PCA score plot. The orthogonal partial least square discriminant analysis (OPLS-DA) of the NIR models had successfully identified used and admixed oil from the pure oil. Next, in the MIR model, there was one misclassification in Beef. Lastly, in fatty acid diagnostic ratio models, Beef and Fish had one misclassification of pure oil, respectively.
format	Thesis
qualification_level	Master's degree
author	Ng, Jing Sheng
author_facet	Ng, Jing Sheng
author_sort	Ng, Jing Sheng
title	Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics
title_short	Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics
title_full	Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics
title_fullStr	Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics
title_full_unstemmed	Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics
title_sort	adulteration detection of edible palm oil using infrared untargeted screening and targeted fatty acid diagnostic ratio coupled with chemometrics
granting_institution	Universiti Sains Malaysia.
granting_department	Pusat Pengajian Teknologi Industri
publishDate	2021
url	http://eprints.usm.my/53741/1/NG%20JING%20SHENG%20-%20TESIS24.pdf
_version_	1747822257228480512

Adulteration Detection Of Edible Palm Oil Using Infrared Untargeted Screening And Targeted Fatty Acid Diagnostic Ratio Coupled With Chemometrics

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