中文摘要：农产品中的黄曲霉毒素污染是全世界范围内一个重要且长期存在的问题。由曲霉属某些真菌产生的黄曲霉毒素具有高毒性和致癌性。本研究整合利用荧光和反射可见近红外（VNIR）高光谱图像，来检测玉米籽粒中的黄曲霉毒素。研究结果表明，整合技术能够更好的筛选黄曲霉毒素污染的籽粒，并且能够在玉米工业中快速和无破坏性的进行黄曲霉毒素检测。
外文摘要：Aflatoxin contamination in agricultural products has been an important and long-standing problem around the world. Produced by certain fungal species of the Aspergillus genus, aflatoxins are highly toxic and carcinogenic. This study investigated the integration of fluorescence and reflectance visible near-infrared (VNIR) hyperspectral images to detect aflatoxins in whole corn kernels. Field-inoculated corn ears were harvested, and kernels having different aflatoxin contamination levels were collected. Both fluorescence hyperspectral images under ultraviolet (UV) excitation and reflectance hyperspectral images under halogen illumination were recorded on the two sides of the kernels (endosperm and germ). Subsequent chemical analysis was performed on each kernel to provide reference aflatoxin concentration. Threshold values of 20 and 100 ppb were adopted separately to group kernels as contaminated or healthy. Contaminated kernels exhibited different fluorescence and reflectance spectral features compared with healthy kernels. Spectral datasets were compressed and interpreted using principal component analysis (PCA). Least squares support vector machines (LS-SVM) and k-nearest neighbor (KNN) classifiers were used on the fluorescence PC, reflectance PC, and integrated fluorescence and reflectance PC variables for classifying both sides of kernels as contaminated or healthy. The best overall prediction accuracy was 95.33% for the LS-SVM model with the 100 ppb threshold on the germ side in the integrated analysis. Overall, the germ side performed better than the endosperm side, especially for the true positive rate (TPR). Fluorescence and reflectance image data generally achieved similar classification accuracy. The integrated analysis achieved better results than separate fluorescence or reflectance analysis on the germ side, and conspicuous improvement in the TPR of the germ side was observed after integration. The mean aflatoxin concentration in the prediction samples was reduced from 2662.01 ppb to 64.04, 87.33, and 7.59 ppb after removing samples that were classified as contaminated by fluorescence, reflectance, and integrated analysis, respectively, on the germ side. This study demonstrated the potential of the integrated technique for better screening of aflatoxin-contaminated kernels and could lead to rapid and non-destructive scanning-based detection in the corn industry.
外文关键词：Aflatoxins;Corn kernel;Fluorescence;Hyperspectral imaging;Integration;Reflectance
作者：Zhu, Fengle; Yao, Haibo; Hruska, Zuzana; Kincaid, Russell; Brown, Robert L.; Bhatnagar, Deepak; Cleveland, Thomas E.
作者单位：Mississippi State Univ,USA.
期刊名称：TRANSACTIONS OF THE ASABE
期刊影响因子：0.913
出版年份：2016
出版刊次：11
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