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The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis

Glycidyl ester (GE) is a process contaminant formed during the palm oil refining process. In this study, 156 spectra of palm-based cooking oilwere recorded by Fourier transform infrared (FTIR) spectroscopy and resulting data were processed using chemometrics approach. The relationship between spectr...

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Main Authors: Kok, Ming Goh, Maulidiani, M., Rudiyanto, R., Abas, Faridah, Oi, Ming Lai, Kar, Lin Nyam, Alharthi, Fahad A., Nehdi, Imededdine Arbi, Chin, Ping Tan
Format: Article
Language:English
Published: Elsevier 2021
Online Access:http://psasir.upm.edu.my/id/eprint/95367/1/The%20detection%20of%20glycidyl%20ester%20in%20edible%20palm-based%20cooking%20oil%20using%20FTIR-chemometrics%20and%201H%20NMR%20analysis.pdf
http://psasir.upm.edu.my/id/eprint/95367/
https://www.sciencedirect.com/science/article/pii/S0956713521001560
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spelling my.upm.eprints.953672022-12-28T08:25:17Z http://psasir.upm.edu.my/id/eprint/95367/ The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis Kok, Ming Goh Maulidiani, M. Rudiyanto, R. Abas, Faridah Oi, Ming Lai Kar, Lin Nyam Alharthi, Fahad A. Nehdi, Imededdine Arbi Chin, Ping Tan Glycidyl ester (GE) is a process contaminant formed during the palm oil refining process. In this study, 156 spectra of palm-based cooking oilwere recorded by Fourier transform infrared (FTIR) spectroscopy and resulting data were processed using chemometrics approach. The relationship between spectrum data and measured data of GE content was established using Cubist, Random Forest (RF), average neural network (avNNET), and artificial neural network (nnet) model. Then, a consensus regression model was established using a fusion of those four models. GE contents measured by gas chromatography-mass spectrometer (GC-MS) were between 1.338 and 18.362 mg/kg with mean value of 6.880 ± 3.767 mg/kg and median value of 6.480 mg/kg. In this study, FTIR spectrum served as data input and calibrated using measurements from GC-MS. NMR was then applied to verify the present and structural information of GE. Prediction results of GE using the consensus model showed -high coefficient of determination (R2) value of 0.79. The contribution (in percentage) of each member model from highest to the lowest was in order Cubist > RF > avNNET > nnet. Further confirmation of the presence of GE in samples were performed using 1H NMR spectroscopy. Comprehensive analyses based on FTIR chemometrics and 1H NMR spectroscopy successfully determined GE in palm-based cooking oil. Elsevier 2021 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/95367/1/The%20detection%20of%20glycidyl%20ester%20in%20edible%20palm-based%20cooking%20oil%20using%20FTIR-chemometrics%20and%201H%20NMR%20analysis.pdf Kok, Ming Goh and Maulidiani, M. and Rudiyanto, R. and Abas, Faridah and Oi, Ming Lai and Kar, Lin Nyam and Alharthi, Fahad A. and Nehdi, Imededdine Arbi and Chin, Ping Tan (2021) The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis. FOOD CONTROL, 125. 01-Jul. ISSN 0956-7135; ESSN: 1873-7129 https://www.sciencedirect.com/science/article/pii/S0956713521001560 10.1016/j.foodcont.2021.108018
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Glycidyl ester (GE) is a process contaminant formed during the palm oil refining process. In this study, 156 spectra of palm-based cooking oilwere recorded by Fourier transform infrared (FTIR) spectroscopy and resulting data were processed using chemometrics approach. The relationship between spectrum data and measured data of GE content was established using Cubist, Random Forest (RF), average neural network (avNNET), and artificial neural network (nnet) model. Then, a consensus regression model was established using a fusion of those four models. GE contents measured by gas chromatography-mass spectrometer (GC-MS) were between 1.338 and 18.362 mg/kg with mean value of 6.880 ± 3.767 mg/kg and median value of 6.480 mg/kg. In this study, FTIR spectrum served as data input and calibrated using measurements from GC-MS. NMR was then applied to verify the present and structural information of GE. Prediction results of GE using the consensus model showed -high coefficient of determination (R2) value of 0.79. The contribution (in percentage) of each member model from highest to the lowest was in order Cubist > RF > avNNET > nnet. Further confirmation of the presence of GE in samples were performed using 1H NMR spectroscopy. Comprehensive analyses based on FTIR chemometrics and 1H NMR spectroscopy successfully determined GE in palm-based cooking oil.
format Article
author Kok, Ming Goh
Maulidiani, M.
Rudiyanto, R.
Abas, Faridah
Oi, Ming Lai
Kar, Lin Nyam
Alharthi, Fahad A.
Nehdi, Imededdine Arbi
Chin, Ping Tan
spellingShingle Kok, Ming Goh
Maulidiani, M.
Rudiyanto, R.
Abas, Faridah
Oi, Ming Lai
Kar, Lin Nyam
Alharthi, Fahad A.
Nehdi, Imededdine Arbi
Chin, Ping Tan
The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis
author_facet Kok, Ming Goh
Maulidiani, M.
Rudiyanto, R.
Abas, Faridah
Oi, Ming Lai
Kar, Lin Nyam
Alharthi, Fahad A.
Nehdi, Imededdine Arbi
Chin, Ping Tan
author_sort Kok, Ming Goh
title The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis
title_short The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis
title_full The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis
title_fullStr The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis
title_full_unstemmed The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis
title_sort detection of glycidyl ester in edible palm-based cooking oil using ftir-chemometrics and 1h nmr analysis
publisher Elsevier
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/95367/1/The%20detection%20of%20glycidyl%20ester%20in%20edible%20palm-based%20cooking%20oil%20using%20FTIR-chemometrics%20and%201H%20NMR%20analysis.pdf
http://psasir.upm.edu.my/id/eprint/95367/
https://www.sciencedirect.com/science/article/pii/S0956713521001560
_version_ 1753789938914033664
score 13.211869

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