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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Research Management Institute (RMI)
2014
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/12799/ |
| _version_ | 1848803182191312896 |
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| 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 |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:35:10Z |
| format | Article |
| id | uitm-12799 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:35:10Z |
| publishDate | 2014 |
| publisher | Research Management Institute (RMI) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-127992016-05-26T03:15:41Z https://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.] srj 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 https://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.]. (2014) Scientific Research Journal <https://ir.uitm.edu.my/view/publication/Scientific_Research_Journal.html>, 11 (1). pp. 1-14. ISSN 1675-7009 https://srj.uitm.edu.my/ |
| 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.] |
| title | 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_short | 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.] |
| topic | Palm oil Nutrition. Foods and food supply |
| url | https://ir.uitm.edu.my/id/eprint/12799/ https://ir.uitm.edu.my/id/eprint/12799/ |