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

机译:利用近红外和中红外光谱技术对糙米中的黄曲霉毒素进行无损快速评估

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摘要

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 (rv = 0.936–0.973, RPD = 2.5–4.0) and MIR spectroscopy (rv = 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.Electronic supplementary materialThe online version of this article (10.1007/s13197-018-3033-1) contains supplementary material, which is available to authorized users.
机译:在这项研究中探索了近红外(NIR)和中红外(MIR)光谱结合化学计量学的适用性,以开发快速,低成本和无损的光谱方法,用于糙米中黄曲霉毒素的分类和定量。通过人工接种黄曲霉和真菌寄生曲霉,共制备了132株黄曲霉毒素浓度范围为0–2435.8μg / kg的糙米样品。对于黄曲霉毒素B1含量不同的样品分类,线性判别分析模型对NIR和MIR光谱的正确分类率分别为96.9和90.6%。对于同时测定黄曲霉毒素B1,B2,G1,G2和总黄曲霉毒素,偏最小二乘回归也显示出对NIR(rv = 0.936-0.973,RPD = 2.5-4.0)和MIR光谱法(rv = 0.922)的良好预测准确性–0.970,RPD = 2.5–4.0)。总体结果表明,这两种光谱技术提供了用作快速检测谷物中各种黄曲霉毒素污染的替代工具的可行性。电子补充材料本文的在线版本(10.1007 / s13197-018-3033-1)包含补充材料,可供授权用户使用。

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