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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | E-Article |
| Language: | English |
| Published: |
Elsevier B.V.
2012
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/17663/1/An%20automated%20approach%20for%20analysis%20of%20Fourier%20Transform%20Infrared%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/17663/ http://www.sciencedirect.com/science/article/pii/S0039914011010125 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|