期刊
FOOD RESEARCH INTERNATIONAL
卷 51, 期 2, 页码 848-854出版社
ELSEVIER
DOI: 10.1016/j.foodres.2013.01.061
关键词
Linum usitatissimum; Mid-infrared; Near-infrared; Partial least squares regression (PLSR)
资金
- CNPq-Brazil
- National Council for the Improvement of Higher Education (CAPES)
Infrared spectroscopy was used for multivariate determination of linoleic (LA) and linolenic (ALA) acids in yellow and brown flax seed samples, using partial least square regression (PLSR). The models were developed by correlating near-(NIR) and mid-infrared (MIR) spectroscopic signals with the acid content determined by GC-FID. For the flax seed samples, the best models for both, LA (R-2=0.90, Standard Error of Prediction (SEP) =1.61) and ALA (R-2=0.86, SEP= 0.63) were obtained by processing the NIR spectral data. For samples of flax seed flours, the best models for prediction of the ALA (R-2=0.99, SEP= 121) and LA content (R-2=0.88, SEP= 0.76) were developed by processing the NIR and MIR spectral region, respectively. This report demonstrates that NIR and MIR spectroscopies are efficient techniques for the determination and quantification of LA and ALA in flax seed and flax seed flours. (C) 2013 Elsevier Ltd. All rights reserved.
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