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Effective detection of benzoyl peroxide in flour based on parameter selection of Raman hyperspectral system |
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| Authors: | Xiaobin Wang Wenqian Huang Qingyan Wang Chen Liu Guiyan Yang |
| Institution: | 1. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China;2. Intelligent Detection Department, Beijing Research Center of Intelligent Equipment for Agriculture, Beijing, China;3. Intelligent Detection Department, National Research Center of Intelligent Equipment for Agriculture, Beijing, China;4. Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China;5. Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China;6. Intelligent Detection Department, Beijing Research Center of Intelligent Equipment for Agriculture, Beijing, China |
| Abstract: | 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. |
| Keywords: | Benzoyl peroxide flour penetration depth Raman hyperspectral system spatial resolution |