Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach

Palm oil is one of the important commodities of Malaysia and is superior for frying due to its high oxidative stability and high content of unsaturated fatty acids. The quality of frying oil will decrease with time and repeated cycles of frying, and may subsequently affect the safety of the food. Se...

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Main Authors: Z. Hashim, S.S.A.M. Zaki, I.I. Muhamad
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2017-03-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/1550
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spelling doaj-b0dfb3c0b0e14c45bc66dde0416c1acf2021-02-18T21:11:43ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162017-03-015610.3303/CET1756139Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate ApproachZ. HashimS.S.A.M. ZakiI.I. MuhamadPalm oil is one of the important commodities of Malaysia and is superior for frying due to its high oxidative stability and high content of unsaturated fatty acids. The quality of frying oil will decrease with time and repeated cycles of frying, and may subsequently affect the safety of the food. Several parameters such as peroxide value (PV) and conjugated diene value (CDV) have been used conventionally to monitor the quality of edible oils. In this study, Fourier Transform Infrared (FTIR) spectroscopy was used to evaluate the quality ofpalm oils after repeated cycles of frying. FTIR spectra were recorded from 4,000 to 400 cm-1, and analysedusing multivariate data analysis (MVA) to select important spectral regions and identify clustering pattern among samples. FTIR frequencies at 1,744 and 2,922 cm-1 were found to be the most discriminating variablesinfluencing the separation between fresh and used frying oils. The correlations between peak areas at 1,744 and 2,922 cm-1 with PV and CDV values were also determined, yielding linear regression models with high correlation coefficient, R2. The results demonstrate that FTIR can be used as a rapid, reliable and accurateanalytical method for the quality assessment of frying oils.https://www.cetjournal.it/index.php/cet/article/view/1550
collection DOAJ
language English
format Article
sources DOAJ
author Z. Hashim
S.S.A.M. Zaki
I.I. Muhamad
spellingShingle Z. Hashim
S.S.A.M. Zaki
I.I. Muhamad
Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach
Chemical Engineering Transactions
author_facet Z. Hashim
S.S.A.M. Zaki
I.I. Muhamad
author_sort Z. Hashim
title Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach
title_short Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach
title_full Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach
title_fullStr Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach
title_full_unstemmed Quality Assessment of Fried Palm Oils using Fourier Transform Infrared Spectroscopy and Multivariate Approach
title_sort quality assessment of fried palm oils using fourier transform infrared spectroscopy and multivariate approach
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2017-03-01
description Palm oil is one of the important commodities of Malaysia and is superior for frying due to its high oxidative stability and high content of unsaturated fatty acids. The quality of frying oil will decrease with time and repeated cycles of frying, and may subsequently affect the safety of the food. Several parameters such as peroxide value (PV) and conjugated diene value (CDV) have been used conventionally to monitor the quality of edible oils. In this study, Fourier Transform Infrared (FTIR) spectroscopy was used to evaluate the quality ofpalm oils after repeated cycles of frying. FTIR spectra were recorded from 4,000 to 400 cm-1, and analysedusing multivariate data analysis (MVA) to select important spectral regions and identify clustering pattern among samples. FTIR frequencies at 1,744 and 2,922 cm-1 were found to be the most discriminating variablesinfluencing the separation between fresh and used frying oils. The correlations between peak areas at 1,744 and 2,922 cm-1 with PV and CDV values were also determined, yielding linear regression models with high correlation coefficient, R2. The results demonstrate that FTIR can be used as a rapid, reliable and accurateanalytical method for the quality assessment of frying oils.
url https://www.cetjournal.it/index.php/cet/article/view/1550
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