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Drug identification method based on data fusion of ion mobility spectrometry and Raman spectroscopy by PCA-SVM analysis
Author(s): 
Pages: 31-37
Year: Issue:  2
Journal: Optical Instruments

Keyword:  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;
Abstract: 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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