Application of Near Infrared Hyperspectral Imaging for Detection of Azodicarbonamidein Flour

文献类型： 外文期刊

第一作者： Wang Xiao-bin

作者： Wang Xiao-bin;Zhao Chun-jiang;Wang Xiao-bin;Huang Wen-qian;Wang Qing-yan;Li Jiang-bo;Wang Chao-peng;Zhao Chun-jiang;Wang Xiao-bin;Huang Wen-qian;Wang Qing-yan;Li Jiang-bo;Wang Chao-peng;Zhao Chun-jiang;Wang Xiao-bin;Huang Wen-qian;Wang Qing-yan;Li Jiang-bo;Wang Chao-peng;Zhao Chun-jiang;Wang Xiao-bin;Huang Wen-qian;Wang Qing-yan;Li Jiang-bo;Wang Chao-peng;Zhao Chun-jiang

作者机构：

关键词： Hyperspectral imaging technology; Flour; Azodicarbonamide; Spectral similarity analysis; Classification

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2018 年 38 卷 3 期

页码：

收录情况： SCI

摘要： Near infrared hyperspectral imaging technology not only can acquire the image information of the sample, but also contain the spectra information about each pixel. Due to the abundant information that the method provides, it has been applied to detect food safety. This study adopted near infrared hyperspectral technology to detect azodicarbonamide in flour. Hyperspectral images of pure azodicarbonamide, pure flour, and azodicarbonamide-flour mixture samples with different concentrations of azodicarbonamide were collected, by comparing the average diffuse reflectance spectra of pure azodicarbonamide and pure flour, the four absorption bands with high difference were found at 1574. 38, 2038. 55, 2166. 88 and 2269. 91 nm. Second derivative was used for each pixel in the mixture sample ROI. Azodicarbonamide pixels and flour pixels were detected by three spectral similarity analysis methods: spectral angle mapper, spectral correlation angle, and spectral correlation measure. The results showed that the average spectra after pretreatment cannot effectively detect azodicarbonamide in flour. Spectral similarity analysis of single pixel spectra can be used to classify azodicarbonamide pixels and flour pixels in mixture samples. The validation of the classification results showed the correct classification of azodicarbonamide pixels and flour pixels. This study could provide a method support for the detection of additives in flour based on near infrared hyperspectral imaging technology, and provide a reference for the detection of adulterants in food.

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