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Raman hyperspectral image analysis of benzoyl peroxide additive

文献类型： 外文期刊

作者： Wang, Xiaobin 1 ; Huang, Wenqian 2 ; Wang, Qingyan 2 ; Liu, Chen 2 ; Wang, Chaopeng 2 ; Yang, Guiyan 2 ; Zhao, Chunjia 1 ;

作者机构： 1.Shenyang Agr Univ, Coll Informat & Elect Engn, Shenyang 110866, Peoples R China

2.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

3.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

4.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China

5.Beijing Key Lab Intelligent Equipment Technol Agr, Beijing 100097, Peoples R China

关键词： Benzoyl peroxide;Raman spectra;Wavelet denoising;Vibrational assignment;Image analysis

期刊名称：JOURNAL OF MOLECULAR STRUCTURE （ 影响因子：3.196； 五年影响因子：2.618 ）

ISSN： 0022-2860

年卷期： 2017 年 1138 卷

页码：

收录情况： SCI

摘要： This study adopted a Raman hyperspectral imaging system to collect the Raman spectra and hyper-spectral images of benzoyl peroxide (BPO) additive for subsequent analysis. The raw Raman spectra of BPO were preprocessed by wavelet denoising. Optimal parameters of wavelet denoising were selected by the orthogonal experimental design. The signal-noise (S/N) ratio of the optimal parameter combination was 32.848. The smoothed Raman spectra were divided into three regions (1900-1300, 1300-700, and 700-100 cm(-1)) for assignment and the band vibrational modes of BPO molecule were obtained. Wherein, the Raman bands at 1771,1597,1230, 999, 889 and 845 cm(-1) are higher than others, and can be used as the Raman characteristic bands. Analysis of the grayscale images corresponding to different characteristic bands, it is found that the order of change of the image gray level was consistent with characteristic bands intensity. Findings of this study provide the research basics for the detection and analysis of BPO additive. (C) 2017 Elsevier B.V. All rights reserved.

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[1]Effective detection of benzoyl peroxide in flour based on parameter selection of Raman hyperspectral system. 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. 2017

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