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Fast and nondestructive determination of protein content in rapeseeds (Brassica napus L.) using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS).

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Fast and nondestructive determination of protein content in rapeseeds (Brassica napus L.) using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS).

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Lu, Yuzhen Du, Changwen Yu, Changbing Zhou, Jianmin
Description	Country affiliation: China Author Affiliation: Lu Y ( Institute of Soil Science, National Key Laboratory of Soil and Sustainable Agriculture Chinese Academy of Sciences, Nanjing, 21008, China.)
Abstract	BACKGROUND: Fast and non-destructive determination of rapeseed protein content carries significant implications in rapeseed production. This study presented the first attempt of using Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) to quantify protein content of rapeseed. The full-spectrum model was first built using partial least squares (PLS). Interval selection methods including interval partial least squares (iPLS), synergy interval partial least squares (siPLS), backward elimination interval partial least squares (biPLS) and dynamic backward elimination interval partial least squares (dyn-biPLS) were then employed to select the relevant band or band combination for PLS modeling. RESULTS: The full-spectrum PLS model achieved an ratio of prediction to deviation (RPD) of 2.047. In comparison, all interval selection methods produced better results than full-spectrum modeling. siPLS achieved the best predictive accuracy with an RPD of 3.215 when the spectrum was sectioned into 25 intervals, and two intervals (1198-1335 and 1614-1753 cm(-1) ) were selected. iPLS excelled biPLS and dyn-biPLS, and dyn-biPLS performed slightly better than biPLS. CONCLUSION: FTIR-PAS was verified as a promising analytical tool to quantify rapeseed protein content. Interval selection could extract the relevant individual band or synergy band associated with the sample constituent of interest, and then improve the prediction accuracy of the full-spectrum model.
File Format	HTM / HTML
ISSN	00225142
Issue Number	11
Volume Number	94
e-ISSN	10970010
Journal	Journal of the Science of Food and Agriculture
Language	English
Publisher	Wiley
Publisher Date	2014-08-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Agriculture Brassica Napus Chemistry Brassica Rapa Dietary Proteins Analysis Photoacoustic Techniques Methods Seeds Spectroscopy, Fourier Transform Infrared Spectrum Analysis Diet Humans Least-squares Analysis Reproducibility Of Results Journal Article Research Support, Non-u.s. Gov't Validation Studies
Content Type	Text
Resource Type	Article
Subject	Nutrition and Dietetics Food Science Biotechnology Agronomy and Crop Science

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Fast and nondestructive determination of protein content in rapeseeds (Brassica napus L.) using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS).