Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]

This paper outlines the application of chemometrics and pattern recognition tools to classify palm oil using Fourier Transform Mid Infrared spectroscopy (FT-MIR). FT-MIR spectroscopy is used as an effective analytical tool in order to categorise the oil into the category of unused palm oil and used...

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Main Authors:	Mohd Ruah, Mas Ezatul Nadia, Rasaruddin, Nor Fazila, Sim, Siong Fong, Jaafar, Mohd Zuli
Format:	Article
Language:	English
Published:	Research Management Institute (RMI) 2014
Subjects:	Palm oil Nutrition. Foods and food supply
Online Access:	http://ir.uitm.edu.my/id/eprint/12799/ http://ir.uitm.edu.my/id/eprint/12799/1/AJ_MAS%20EZATUL%20NADIA%20MOHD%20RUAH%20SRJ%2014%201.pdf

id	uitm-12799
recordtype	eprints
spelling	uitm-127992016-05-26T03:15:41Z http://ir.uitm.edu.my/id/eprint/12799/ Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.] Mohd Ruah, Mas Ezatul Nadia Rasaruddin, Nor Fazila Sim, Siong Fong Jaafar, Mohd Zuli Palm oil Nutrition. Foods and food supply This paper outlines the application of chemometrics and pattern recognition tools to classify palm oil using Fourier Transform Mid Infrared spectroscopy (FT-MIR). FT-MIR spectroscopy is used as an effective analytical tool in order to categorise the oil into the category of unused palm oil and used palm oil for frying. The samples used in this study consist of 28 types of pure palm oil, and 28 types of frying palm oils. FT-MIR spectral was obtained in absorbance mode at the spectral range from 650 cm-1 to 4000 cm-1 using FT-MIR-ATR sample handling. The aim of this work is to develop fast method in discriminating the palm oil by implementing Partial Least Square Discriminant Analysis (PLS-DA), Learning Vector Quantisation (LVQ) and Support Vector Machine (SVM). Raw FT-MIR spectra were subjected to Savitzky-Golay smoothing and standardised before developing the classification models. The classification model was validated by finding the value of percentage correctly classified using test set for every model in order to show which classifier provided the best classification. In order to improve the performance of the classification model, variable selection method known as t-statistic method was applied. The significant variable in developing classification model was selected through this method. The result revealed that PLS-DA classifier of the standardised data with application of t-statistic showed the best performance with highest percentage correctly classified among the classifiers. Research Management Institute (RMI) 2014 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12799/1/AJ_MAS%20EZATUL%20NADIA%20MOHD%20RUAH%20SRJ%2014%201.pdf Mohd Ruah, Mas Ezatul Nadia and Rasaruddin, Nor Fazila and Sim, Siong Fong and Jaafar, Mohd Zuli (2014) Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]. Scientific Research Journal, 11 (1). pp. 1-14. ISSN 1675-7009
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Palm oil Nutrition. Foods and food supply
spellingShingle	Palm oil Nutrition. Foods and food supply Mohd Ruah, Mas Ezatul Nadia Rasaruddin, Nor Fazila Sim, Siong Fong Jaafar, Mohd Zuli Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]
description	This paper outlines the application of chemometrics and pattern recognition tools to classify palm oil using Fourier Transform Mid Infrared spectroscopy (FT-MIR). FT-MIR spectroscopy is used as an effective analytical tool in order to categorise the oil into the category of unused palm oil and used palm oil for frying. The samples used in this study consist of 28 types of pure palm oil, and 28 types of frying palm oils. FT-MIR spectral was obtained in absorbance mode at the spectral range from 650 cm-1 to 4000 cm-1 using FT-MIR-ATR sample handling. The aim of this work is to develop fast method in discriminating the palm oil by implementing Partial Least Square Discriminant Analysis (PLS-DA), Learning Vector Quantisation (LVQ) and Support Vector Machine (SVM). Raw FT-MIR spectra were subjected to Savitzky-Golay smoothing and standardised before developing the classification models. The classification model was validated by finding the value of percentage correctly classified using test set for every model in order to show which classifier provided the best classification. In order to improve the performance of the classification model, variable selection method known as t-statistic method was applied. The significant variable in developing classification model was selected through this method. The result revealed that PLS-DA classifier of the standardised data with application of t-statistic showed the best performance with highest percentage correctly classified among the classifiers.
format	Article
author	Mohd Ruah, Mas Ezatul Nadia Rasaruddin, Nor Fazila Sim, Siong Fong Jaafar, Mohd Zuli
author_facet	Mohd Ruah, Mas Ezatul Nadia Rasaruddin, Nor Fazila Sim, Siong Fong Jaafar, Mohd Zuli
author_sort	Mohd Ruah, Mas Ezatul Nadia
title	Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]
title_short	Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]
title_full	Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]
title_fullStr	Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]
title_full_unstemmed	Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]
title_sort	application of partial least squares discriminant analysis for discrimination of palm oil / mas ezatul nadia mohd ruah ... [et al.]
publisher	Research Management Institute (RMI)
publishDate	2014
url	http://ir.uitm.edu.my/id/eprint/12799/ http://ir.uitm.edu.my/id/eprint/12799/1/AJ_MAS%20EZATUL%20NADIA%20MOHD%20RUAH%20SRJ%2014%201.pdf
first_indexed	2023-09-18T22:49:27Z
last_indexed	2023-09-18T22:49:27Z
_version_	1777417445377572864

Application of partial least squares discriminant analysis for discrimination of palm oil / Mas Ezatul Nadia Mohd Ruah ... [et al.]

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