摘要

提出了一种基于拉曼光谱的混合物组分识别新方法。对混合物的拉曼光谱进行背景校正和去噪处理，利用Voigt函数对拉曼谱峰进行拟合，获取其谱峰的拉曼位移、半峰全宽及强度作为混合物特征参数向量，通过与数据库纯净物特征向量进行相关性分析，实现混合物组分的有效识别。构建了由18种纯净物拉曼光谱数据构成的标准组分数据库，并对6种混合物进行了组分识别实验。实验结果表明，所提方法的识别准确率达到100%。

Abstract

A novel algorithm for component identification in mixtures based on Raman spectroscopy is proposed, in which background correction and de-noising operation on the Raman spectra of mixtures are firstly performed, the Voigt function is then used to fit the Raman peaks to obtain the Raman shifts, full widths at half maximum, and peak intensities as the feature parameter vector of mixtures, and finally, the effective component identification of mixtures is finally realized via the correlation analysis of the feature vectors between the mixtures and the pure substances in the database. The Raman spectral data of 18 pure substances are used to build a standard database, and the component identification experiment of 6 kinds of mixtures are conducted. The experimental results show that the recognition accuracy of the proposed algorithm is up to 100%.

补充资料

中图分类号：O433.4

DOI：10.3788/lop56.083004

所属栏目：光谱学

基金项目：国家自然科学基金（61775086）

收稿日期：2018-10-12

修改稿日期：2018-11-15

网络出版日期：2018-11-16

作者单位    点击查看

联系人作者：朱启兵(zhuqib@163.com)

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引用该论文

Liu Caizheng,Zhu Qibing,Huang Min,Li Min. Identification of Components in Mixtures Based on Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2019, 56(8): 083004

刘财政,朱启兵,黄敏,李敏. 基于拉曼光谱的混合物组分识别方法[J]. 激光与光电子学进展, 2019, 56(8): 083004