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

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...

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Main Authors: Siong-Fong, Sim, Woei, Ting
Format: Article
Language:English
Published: Elsevier B.V. 2012
Subjects:
Online Access:http://ir.unimas.my/id/eprint/17663/
http://ir.unimas.my/id/eprint/17663/1/An%20automated%20approach%20for%20analysis%20of%20Fourier%20Transform%20Infrared%20%28abstract%29.pdf
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author Siong-Fong, Sim
Woei, Ting
author_facet Siong-Fong, Sim
Woei, Ting
author_sort Siong-Fong, Sim
building UNIMAS Institutional Repository
collection Online Access
description 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.
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publisher Elsevier B.V.
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spelling unimas-176632017-09-19T01:27:17Z http://ir.unimas.my/id/eprint/17663/ An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils Siong-Fong, Sim Woei, Ting T Technology (General) 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. Elsevier B.V. 2012 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17663/1/An%20automated%20approach%20for%20analysis%20of%20Fourier%20Transform%20Infrared%20%28abstract%29.pdf 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 http://www.sciencedirect.com/science/article/pii/S0039914011010125 doi:10.1016/j.talanta.2011.11.030
spellingShingle T Technology (General)
Siong-Fong, Sim
Woei, Ting
An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
title An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
title_full An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
title_fullStr An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
title_full_unstemmed An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
title_short An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils
title_sort automated approach for analysis of fourier transform infrared (ftir) spectra of edible oils
topic T Technology (General)
url http://ir.unimas.my/id/eprint/17663/
http://ir.unimas.my/id/eprint/17663/
http://ir.unimas.my/id/eprint/17663/
http://ir.unimas.my/id/eprint/17663/1/An%20automated%20approach%20for%20analysis%20of%20Fourier%20Transform%20Infrared%20%28abstract%29.pdf