Effective detection of benzoyl peroxide in flour based on parameter selection of Raman hyperspectral system

文献类型： 外文期刊

第一作者： Wang, Xiaobin

作者： Wang, Xiaobin;Zhao, Chunjiang;Wang, Xiaobin;Zhao, Chunjiang;Huang, Wenqian;Wang, Qingyan;Liu, Chen;Yang, Guiyan;Wang, Xiaobin;Zhao, Chunjiang;Huang, Wenqian;Wang, Qingyan;Liu, Chen;Yang, Guiyan;Wang, Xiaobin;Zhao, Chunjiang;Huang, Wenqian;Wang, Qingyan;Liu, Chen;Yang, Guiyan;Wang, Xiaobin;Zhao, Chunjiang;Huang, Wenqian;Wang, Qingyan;Liu, Chen;Yang, Guiyan

作者机构：

关键词： Benzoyl peroxide;flour;penetration depth;Raman hyperspectral system;spatial resolution

期刊名称：SPECTROSCOPY LETTERS （ 影响因子：1.179； 五年影响因子：1.176 ）

ISSN： 0038-7010

年卷期： 2017 年 50 卷 7 期

页码：

收录情况： SCI

摘要： Penetration depth and spatial resolution of Raman hyperspectral imaging system were studied for effective detection of benzoyl peroxide in flour. The determinations of parameters were achieved by using the single-band background-correct image of a benzoyl peroxide Raman characteristic band and a simple threshold method. The selected parameters were used to detect mixture samples with different concentrations. Percentage of detected benzoyl peroxide pixels was positively correlated to its concentration. The result shows that parameters selected in this study are effective for the detection of benzoyl peroxide additive in flour and can be used for quantitative analysis in the future.

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