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Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR)
Joint Authors
Sim, Siong-Fong
Chai, Min Xuan Laura
Jeffrey Kimura, Amelia Laccy
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Fourier-transform infrared (FTIR) offers the advantages of rapid analysis with minimal sample preparation.
FTIR in combination with multivariate approach, particularly partial least squares regression (PLSR), has been widely used for adulterant analysis.
Limited study has been done to compare PLSR with other regression strategies.
In this paper, we apply simple linear regression (SLR), multiple linear regression (MLR), and PLSR for prediction of lard in palm olein oil.
Pure palm olein oil was adulterated with lard at different concentrations and subjected to analysis with FTIR.
The marker bands distinguishing lard and palm olein oil were determined using Fisher’s weights.
The marker regions were then subjected to regression analysis with the models verified based on 100 training/test sets.
The prediction performance was measured based on the percentage root mean square error (%RMSE).
The absorption bands at 3006 cm−1, 2852 cm−1, 1117 cm−1, 1236 cm−1, and 1159 cm−1 were identified as the marker bands.
The bands at 3006 and 1117 cm−1 were found with satisfactory predictive ability, with PLSR demonstrating better prediction yielding %RMSE of 16.03 and 13.26%, respectively.
American Psychological Association (APA)
Sim, Siong-Fong& Chai, Min Xuan Laura& Jeffrey Kimura, Amelia Laccy. 2018. Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR). Journal of Chemistry،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1182555
Modern Language Association (MLA)
Sim, Siong-Fong…[et al.]. Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR). Journal of Chemistry No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1182555
American Medical Association (AMA)
Sim, Siong-Fong& Chai, Min Xuan Laura& Jeffrey Kimura, Amelia Laccy. Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR). Journal of Chemistry. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1182555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182555