中文摘要：本研究用短波红外高光谱成像(SWIR)(1000–2500nm)检测单个玉米粒中的黄曲霉毒素B1(AFB1)。结果表明高光谱成像可以用来定性分类单个玉米粒中AFB1的水平，但要用它预测AFB1的绝对含量，其性能尚待完善。
外文摘要：Short wave infrared hyperspectral imaging (SWIR) (1000–2500 nm) was used to detect aflatoxin B1 (AFB1) in single maize kernels. One hundred and twenty kernels of four varieties artificially inoculated with a toxigenic strain of Aspergillus flavus in the field were examined. Normalisation and principal component analysis (PCA) were applied on average spectra of each kernel to reduce dimensionality and noise. Combining with support vector machine (SVM) classification methods, the first five principal components (PCs) were used to qualitatively classify the AFB1 contamination levels (1 content and the first three PCs. Coefficients of determination (R2) of the support vector machine regression model were 0.77 and 0.70 for calibration and validation set separately. A possible distribution map of AFB1 was also made by applying the regression model on every pixel of the hyperspectral image. Moreover, using loading plots of the mutual first three PCs, five wavelengths (1317, 1459, 1865, 1934 and 2274 nm) were selected as characteristic wavelengths. Results indicated that hyperspectral imaging could be used to classify AFB1 level qualitatively in individual maize kernels, however the performance of predicting the categorical AFB1 content still needs to be improved.
外文关键词：Aflatoxin B-1；Maize kernels；Near-infrared hyperspectral Imaging；Support vector machine (SVM)
作者：Chu, X；Wang, W；Yoon, SC；Ni, XZ；Heitschmidt, GW
作者单位：China Agr Univ
期刊名称：BIOSYSTEMS ENGINEERING
期刊影响因子：1.997
出版年份：2017
出版刊次：5
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