Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz

Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz

A dielectric spectroscopy method was applied to determine major fatty acids composition in vegetable oils. Dielectric constants of vegetable oils were measured in the frequency range of 5–30 MHz. After data pre-treatment, prediction models were constructed using partial least squares (PLS) regressio...

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Main Authors: Amat Sairin, Masyitah, Abd Aziz, Samsuzana, Chan, Yoke Mun, Khaled, Alfadhl Yahya, Rokhani, Fakhrul Zaman
Format: Article
Published: Public Library of Science 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100199/
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0268827
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Institution: Universiti Putra Malaysia
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spelling my.upm.eprints.1001992024-07-15T06:16:45Z http://psasir.upm.edu.my/id/eprint/100199/ Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz Amat Sairin, Masyitah Abd Aziz, Samsuzana Chan, Yoke Mun Khaled, Alfadhl Yahya Rokhani, Fakhrul Zaman A dielectric spectroscopy method was applied to determine major fatty acids composition in vegetable oils. Dielectric constants of vegetable oils were measured in the frequency range of 5–30 MHz. After data pre-treatment, prediction models were constructed using partial least squares (PLS) regression between dielectric spectral values and the fatty acids compositions measured by gas chromatography. Generally, the root means square error of validation (RMSECV) was less than 11.23% in the prediction of individual fatty acids. The determination coefficient (R2) between predicted and measured oleic, linoleic, mono-unsaturated, and poly-unsaturated fatty acids were 0.84, 0.77, 0.84, and 0.84, respectively. These results indicated that dielectric spectroscopy coupled with PLS regression could be a promising method for predicting major fatty acid composition in vegetable oils and has the potential to be used for in-situ monitoring systems of daily consumption of dietary fatty acids. Public Library of Science 2022-05-26 Article PeerReviewed Amat Sairin, Masyitah and Abd Aziz, Samsuzana and Chan, Yoke Mun and Khaled, Alfadhl Yahya and Rokhani, Fakhrul Zaman (2022) Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz. PLOS One, 17 (5). art. no. 268827. pp. 1-14. ISSN 1932-6203 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0268827 10.1371/journal.pone.0268827
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/
description A dielectric spectroscopy method was applied to determine major fatty acids composition in vegetable oils. Dielectric constants of vegetable oils were measured in the frequency range of 5–30 MHz. After data pre-treatment, prediction models were constructed using partial least squares (PLS) regression between dielectric spectral values and the fatty acids compositions measured by gas chromatography. Generally, the root means square error of validation (RMSECV) was less than 11.23% in the prediction of individual fatty acids. The determination coefficient (R2) between predicted and measured oleic, linoleic, mono-unsaturated, and poly-unsaturated fatty acids were 0.84, 0.77, 0.84, and 0.84, respectively. These results indicated that dielectric spectroscopy coupled with PLS regression could be a promising method for predicting major fatty acid composition in vegetable oils and has the potential to be used for in-situ monitoring systems of daily consumption of dietary fatty acids.
format Article
author Amat Sairin, Masyitah
Abd Aziz, Samsuzana
Chan, Yoke Mun
Khaled, Alfadhl Yahya
Rokhani, Fakhrul Zaman
spellingShingle Amat Sairin, Masyitah
Abd Aziz, Samsuzana
Chan, Yoke Mun
Khaled, Alfadhl Yahya
Rokhani, Fakhrul Zaman
Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz
author_facet Amat Sairin, Masyitah
Abd Aziz, Samsuzana
Chan, Yoke Mun
Khaled, Alfadhl Yahya
Rokhani, Fakhrul Zaman
author_sort Amat Sairin, Masyitah
title Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz
title_short Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz
title_full Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz
title_fullStr Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz
title_full_unstemmed Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz
title_sort analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 mhz
publisher Public Library of Science
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100199/
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0268827
_version_ 1805889898125721600

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