1.北京化工大学 化学学院,北京 100029
2.公安部物证鉴定中心,北京 100038
3.苏州微木智能系统 有限公司,江苏 苏州 215000
4.新乡医学院 药学院,河南 新乡 453003
杜振霞,教授,研究方向:分析化学,E - mail:duzx@mail.buct.edu.cn
邹积鑫,研究员,研究方向:文件检验,E - mail:215115170@qq.com
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吴秋香,李志豪,王迪等.基于离子迁移谱的假币用纸快速检测及溯源[J].分析测试学报,2022,41(11):1652-1657.
WU Qiu-xiang,LI Zhi-hao,WANG Di,et al.Rapid Detection and Traceability of Counterfeit Banknote Paper Based on Ion Mobility Spectrometry[J].Journal of Instrumental Analysis,2022,41(11):1652-1657.
吴秋香,李志豪,王迪等.基于离子迁移谱的假币用纸快速检测及溯源[J].分析测试学报,2022,41(11):1652-1657. DOI: 10.19969/j.fxcsxb.22041806.
WU Qiu-xiang,LI Zhi-hao,WANG Di,et al.Rapid Detection and Traceability of Counterfeit Banknote Paper Based on Ion Mobility Spectrometry[J].Journal of Instrumental Analysis,2022,41(11):1652-1657. DOI: 10.19969/j.fxcsxb.22041806.
该文采用离子迁移谱(IMS)对20种假币用纸进行分析,通过快速检测假币用纸中的可挥发性组分,构建假币用纸的指纹谱图库。基于主成分分析(PCA)和层次聚类分析(HCA)对迁移时间8 ~ 17.5 ms范围的迁移谱信息进行处理,从而对假币用纸进行分类。PCA可将同种假币用纸聚类,HCA则可进一步将20种假币用纸准确分类,其对6个未知来源的半成品假币的分类正确率达83.33%。结果表明,IMS快速检测分析是比较和分类假币用纸的有效方法。
Ion mobility spectrometry(IMS) was used to analyze 20 kinds of counterfeit banknote paper in this article.The volatile components in counterfeit banknote papers were quickly detected by IMS,and the fingerprint spectrum library for counterfeit banknote paper was constructed.Based on principal component analysis(PCA) and hierarchical cluster analysis(HCA),the spectral information within the migration time range of 8-17.5 ms was processed,and then the counterfeit banknote papers were classified.PCA clustered the same kind of counterfeit banknote papers,while HCA further classified 20 kinds of counterfeit banknote paper accurately,and the classification accuracy rates for 6 counterfeit banknote papers of unknown origin reached 83.33%.It can help judge the source of paper used for counterfeiting.The results showed that the rapid IMS detection is an effective method for comparison and classification of counterfeit banknote papers.
假币用纸离子迁移谱主成分分析层次聚类分析
counterfeit banknote paperion mobility spectrometry(IMS)principal component analysis(PCA)hierarchical cluster analysis(HCA)
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