Signal Processing Strategies in FT-NIR and FTIR Spectra of Palm Oils

Rasaruddin, N.F and Hasan, M.N and Jaafar, M.Z and Mohd Ruah, M.E.N and Sim, S. F. (2014) Signal Processing Strategies in FT-NIR and FTIR Spectra of Palm Oils. In: 10th International Colloquium on Signal Processing & its Applications (CSPA2014), 7 - 9 Mac. 2014, Kuala Lumpur, Malaysia.

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Official URL: http://10.1109/CSPA.2014.6805728

Abstract

In the palm oil industry, iodine value (IV) has become an important parameter in quality control that measures the degree of unsaturation of the oils. However, it is difficult to obtain the IV chemically. In other hand, the use of instrumental analysis in IV determination accurately needs suitable data preprocessing. In this study, we proposed the strategy for pre-processing the FT-NIR and FTIR spectra data in analyzing the IV of non-fried and fried palm oils. The utility and effectiveness of four data pre-processing which are column standardization, mean centre and combination of row scaling with column standardization and mean centre were applied. The effect of data splitting methods which are duplex and kenstone was also investigated in the Partial Least Squares (PLS) regression model of palm oils. From the result, the use of different data pre-processing provides different quality of prediction model. Either the application of the row scaling and column scaling individually or combination of both methods may improve the quality of the model. It is concluded that the data pre-processing is context dependent which is depend on the nature of the dataset and there can be no single method for general use.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: FT-NIR, FTIR, row scaling, standardisation, mean centre, palm oils, Universiti Malaysia Sarawak, UNIMAS, university, universiti, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education,undergraduate,postgraduate, research
Subjects: Q Science > Q Science (General)
S Agriculture > SB Plant culture
Divisions: Academic Faculties, Institutes and Centres > Faculty of Resource Science and Technology
Depositing User: Karen Kornalius
Date Deposited: 20 Aug 2014 03:39
Last Modified: 14 Sep 2015 01:57
URI: http://ir.unimas.my/id/eprint/4438

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