An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils

Siong-Fong, Sim and Woei, Ting (2012) An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils. Talanta, 88. pp. 537-543. ISSN 0039-9140

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Abstract

This paper reports a computational approach for analysis of FTIR spectra where peaks are detected, assigned and matched across samples to produce a peak table with rows corresponding to samples and columns to variables. The algorithm is applied on a dataset of 103 spectra of a broad range of edible oils for exploratory analysis and variable selection using Self Organising Maps (SOMs) and t-statistics, respectively. Analysis on the resultant peak table allows the underlying patterns and the discriminatory variables to be revealed. The algorithm is user-friendly; it involves a minimal number of tunable parameters and would be useful for analysis of a large and complicated FTIR dataset.

Item Type: Article
Uncontrolled Keywords: Fourier Transform Infrared, Peak detection, Peak assignment, Peak matching, Edible oils, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Resource Science and Technology
Depositing User: Karen Kornalius
Date Deposited: 19 Sep 2017 01:27
Last Modified: 19 Sep 2017 01:27
URI: http://ir.unimas.my/id/eprint/17663

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