摘要
为了建立一种烟盒物证的分类研究方法,将X射线荧光光谱法、拉曼光谱法、差分拉曼光谱法相结合,对39个黄色烟盒样本进行检验。对于X射线荧光光谱数据,采用系统聚类法,可以将样本初步分为5类;综合拉曼光谱数据与差分拉曼光谱数据,利用主成分分析法对数据进行降维,采用K-Means聚类在系统聚类的基础上实现更精确的分类,可以将样本分为12类。结果表明,所提方法充分结合了X射线荧光光谱法和差分拉曼光谱法的优势,结合化学计量学可以对烟盒样本实现较好的分类检验,为公安机关侦查工作提供线索和方向。
Thirty-nine yellow cigarette case samples were tested by X-ray fluorescence spectrometry,Raman spectrometry,and differential Raman spectrometry to establish a classification method for cigarette case evidence.Using the hierarchical clustering method,the samples can be classified into five categories based on X-ray fluorescence spectrum data.The Raman spectrum data and differential Raman spectrum data are analyzed by synthesis.The principal component analysis is used to reduce the dimension of the data,followed by K-Means clustering to achieve more accurate classification based on hierarchical clustering.The samples can be classified into 12 categories.The results show that the proposed method fully combines the advantages of X-ray fluorescence spectrometry and differential Raman spectrometry,and combined with chemometrics,it can achieve better classification tests for cigarette case samples and provide clues and direction for the investigation work of public security organs.
作者
陆润洲
姜红
满吉
陈娟
段斌
刘峰
Lu Runzhou;Jiang Hong;Man Ji;Chen Juan;Duan Bin;Liu Feng(College of Investigation,People’s Public Security University of China,Beijing 100038,China;Beijing Huayi Hongsheng Technology Co.,Ltd.,Beijing 100123,China;Shanghai Oceanhood Opto-Electronics Tech Co.,Ltd.,Shanghai 201299,China;Nanjing Jianzhi Instrument and Equipment Co.,Ltd.,Nanjing,Jiangsu 210049,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2022年第5期335-343,共9页
Laser & Optoelectronics Progress
基金
中国人民公安大学2021年度基科费重点项目(2021JKF212)。
关键词
光谱学
X射线荧光光谱
拉曼光谱
差分拉曼光谱
烟盒
spectroscopy
X-ray fluorescence spectrometry
Raman spectrometry
differential Raman spectrometry
cigarette case
