Non-destructive and rapid evaluation of aflatoxins in brown rice by using near-infrared and mid-infrared spectroscopic techniques

Journal of Food Science and Technology
Fei ShenQiang Zhang

Abstract

The applicability of near-infrared (NIR) and mid-infrared (MIR) spectroscopy combined with chemometrics was explored in this study to develop rapid, low-cost and non-destructive spectroscopic methods for classification and quantification of aflatoxins in brown rice. A total of 132 brown rice samples within the aflatoxin concentration range of 0-2435.8 μg/kg were prepared by artificially inoculated with A. flavus and A. parasiticus strains of fungus. For the classification of samples at varying levels of aflatoxin B1, the linear discriminant analysis model obtained correct classification rate of 96.9 and 90.6% for NIR and MIR spectroscopy, respectively. For the simultaneous determination of aflatoxins B1, B2, G1, G2 and the total aflatoxins, partial least squares regression also showed good predictive accuracy for both NIR (r v  = 0.936-0.973, RPD = 2.5-4.0) and MIR spectroscopy (r v  = 0.922-0.970, RPD = 2.5-4.0). The overall results indicated that the two spectroscopic techniques offered the feasibility to be used as alternative tools for rapid detection of various aflatoxin contaminations in grain.

References

Oct 13, 2005·Journal of Agricultural and Food Chemistry·Nicola BerardoAdriano Marocco
Jan 17, 2013·Critical Reviews in Food Science and Nutrition·G J B GnonlonfinL Brimer
Feb 28, 2015·Food Chemistry·Samir Mohammed Abd-Elghany, Khalid Ibrahim Sallam
Aug 6, 2015·Journal of Food Science and Technology·Yanwen WangWayne M Jurick

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Citations

Nov 21, 2018·Environmental Science and Pollution Research International·Weihong ZhouJianlong Li
Apr 20, 2021·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Xuexue MiaoYancheng Chen
Dec 9, 2021·Topics in Current Chemistry·Jie ZhangDeman Han

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