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
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Online Access:http://eprints.usm.my/53741/1/NG%20JING%20SHENG%20-%20TESIS24.pdf
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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