| 基于PCA-SVM融合离子迁移谱与拉曼光谱的毒品鉴别方法 |
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| 引用本文： | 蒋林华,沈俊,余治昊,邵咏妮,陈小婉,陈晓东.基于PCA-SVM融合离子迁移谱与拉曼光谱的毒品鉴别方法[J].光学仪器,2018,40(2):31-37. |
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| 作者姓名： | 蒋林华 沈俊 余治昊 邵咏妮 陈小婉 陈晓东 |
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| 作者单位： | 上海理工大学上海市现代光学系统重点实验室;上海理工大学光电信息与计算机工程学院;公安部第三研究所;中国科学院上海高等研究院 |
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| 基金项目： | 上海高校特聘教授（东方学者）岗位计划资助；国家自然科学基金资助项目（61775139） |
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| 摘 要： | 光学检测的指纹图谱具有专属性强、稳定性好、重现性好的特性。通过离子迁移谱毒品探测仪(IMS)与易制毒化学品拉曼快速检查仪分别采集离子与拉曼光谱的双谱图数据,然后将两个谱图进行创新数据融合后,结合主成分分析(PCA)和支持向量机(SVM)分类法对毒品进行鉴别。实验结果表明,融合后的数据相较于分别用单谱图数据进行鉴别,有效提高了对毒品的识别率和准确性。为鉴别毒品提供了一种安全、快速、可靠的新分析方法。
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| 关 键 词： | 禁毒 指纹图谱 离子迁移谱 拉曼光谱 数据融合 主成分分析 支持向量机 |
| 收稿时间： | 2017/6/1 0:00:00 |
Drug identification method based on data fusion of ion mobility spectrometry and Raman spectroscopy by PCA-SVM analysis |
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| JIANG Linhu,SHEN Jun,YU Zhihao,SHAO Yongni,CHEN Xiaowan and CHEN Xiaodong.Drug identification method based on data fusion of ion mobility spectrometry and Raman spectroscopy by PCA-SVM analysis[J].Optical Instruments,2018,40(2):31-37. |
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| Authors: | JIANG Linhu SHEN Jun YU Zhihao SHAO Yongni CHEN Xiaowan and CHEN Xiaodong |
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| Affiliation: | Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;The Third Research Institute of Ministry of Public Security, Shanghai 200031, China,Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai 201210, China |
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| Abstract: | The fingerprint of optical detection has the characteristics of strong property,good stability and reproducibility.In this paper,the two types of data,ion and Raman spectra,were collected by ion mobility spectrometry(IMS) and Raman rapid detectors respectively for precursor chemicals.Then the two types of spectra are combined with the principal component analysis(PCA) and support vector machine(SVM) analysis for the drug identification.The experimental results show that the data fusion can effectively improve the recognition rate and the accuracy of the drug identification compared with that using single spectrum.In this paper,we provide a safe,fast and reliable new method for drug identification. |
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| Keywords: | drug control fingerprint ion mobility spectrometry Raman spectroscopy data fusion principal component analysis support vector machine |
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