摘要
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 pa⁃per 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 informa⁃tion 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 fur⁃ther 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 effec⁃tive method for comparison and classification of counterfeit banknote papers.
作者
吴秋香
李志豪
王迪
孙堂强
杜振霞
邹积鑫
WU Qiu-xiang;LI Zhi-hao;WANG Di;SUN Tang-qiang;DU Zhen-xia;ZOU Ji-xin(College of Chemistry,Beijing University of Chemical Technology,Beijing 100029,China;Institute of Forensic Science,Ministry of Public Security,Beijing 100038,China;Suzhou Weimu Intelligent System Co.Ltd,Suzhou 215000,China;College of Pharmacy,Xinxiang Medical University,Xinxiang 453003,China)
出处
《分析测试学报》
CAS
CSCD
北大核心
2022年第11期1652-1657,共6页
Journal of Instrumental Analysis
基金
现场物证溯源技术国家工程实验室开放课题(2020NELKFKT05)
国家重点研发计划子课题(2016YFC0800705-2)。
关键词
假币用纸
离子迁移谱
主成分分析
层次聚类分析
counterfeit banknote paper
ion mobility spectrometry(IMS)
principal component analysis(PCA)
hierarchical cluster analysis(HCA)