Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data

The determination of slip melting point (SMP) in refined, bleached, and deodorized palm oil is a common and regular requirement in the manufacture of this oil. An FTIR spectrometer in the mid-IR wavelength region (4000-750 cm-1) can provide the basis for a suitable on-line and off-line quantitative...

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Main Authors: Setiowaty, G., Che Man, Y.B.
Format: Article
Language:English
Published: Wiley 2002
Online Access:http://psasir.upm.edu.my/id/eprint/115111/1/115111.pdf
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author Setiowaty, G.
Che Man, Y.B.
author_facet Setiowaty, G.
Che Man, Y.B.
author_sort Setiowaty, G.
collection UPM
description The determination of slip melting point (SMP) in refined, bleached, and deodorized palm oil is a common and regular requirement in the manufacture of this oil. An FTIR spectrometer in the mid-IR wavelength region (4000-750 cm-1) can provide the basis for a suitable on-line and off-line quantitative analytical methodology if used with a suitable calibration model. In this study, by using data from selected regions, the calibration models, including principal component regression and partial least squares regression, have been examined and evaluated for efficacy in determining SMP directly in palm oil blends. Results indicate that orthogonal models using selected wavelength data offer superior predictive performance.
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spelling upm.eprints-1151112025-02-20T07:07:27Z http://psasir.upm.edu.my/id/eprint/115111/ Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data Setiowaty, G. Che Man, Y.B. The determination of slip melting point (SMP) in refined, bleached, and deodorized palm oil is a common and regular requirement in the manufacture of this oil. An FTIR spectrometer in the mid-IR wavelength region (4000-750 cm-1) can provide the basis for a suitable on-line and off-line quantitative analytical methodology if used with a suitable calibration model. In this study, by using data from selected regions, the calibration models, including principal component regression and partial least squares regression, have been examined and evaluated for efficacy in determining SMP directly in palm oil blends. Results indicate that orthogonal models using selected wavelength data offer superior predictive performance. Wiley 2002 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/115111/1/115111.pdf Setiowaty, G. and Che Man, Y.B. (2002) Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data. Journal of the American Oil Chemists' Society, 79 (11). pp. 1081-1084. ISSN 0003-021X; eISSN: 1558-9331 https://aocs.onlinelibrary.wiley.com/doi/10.1007/s11746-002-0607-2 10.1007/s11746-002-0607-2
spellingShingle Setiowaty, G.
Che Man, Y.B.
Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data
title Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data
title_full Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data
title_fullStr Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data
title_full_unstemmed Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data
title_short Determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of FTIR spectroscopic data
title_sort determination of slip melting point in palm oil blends by partial least squares and principal component regression modeling of ftir spectroscopic data
url http://psasir.upm.edu.my/id/eprint/115111/1/115111.pdf
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