作者：姜红¹, 林凡琦², 蒋鹏³, 孙家政¹, 吕航¹

作者单位：1. 中国人民公安大学侦查学院，北京 100038;
2. 温岭市公安局，浙江 台州 317500;
3. 广西警察学院，广西 南宁 530028

关键词：X射线荧光光谱;快递塑料包装袋;系统聚类;判别分析

摘要：

为建立一种区分现场快递塑料包装袋物证的分类模型，利用X射线荧光光谱仪对39个不同颜色、不同公司的快递塑料包装袋样本进行检验。根据外表面颜色不同将39个样本初步分为3类；根据X射线荧光光谱仪测定的样本无机元素含量利用系统聚类进行进一步分组；通过判别分析构建分类模型，模型对已知样本归类准确率达100%。通过多元线性回归分析对分类结果进行检验，分类结果与判别分析结果一致。将2个未知样本代入模型进行验证，模型实现了100%的正确归类。

Spectral identification of express plastic bags samples based on multivariate analysis
JIANG Hong¹, LIN Fanqi², JIANG Peng³, SUN Jiazheng¹, Lü Hang¹
1. College of Investigate, People’ s Public Security University of China, Beijing 100038, China;
2. Public Security Bureau of Wenling, Taizhou 317500, China;
3. Guangxi Police College, Nanning 530028, China
Abstract: In order to establish a classification model to distinguish the physical evidence of express plastic bags, the X-ray fluorescence spectrometer was used to examine 39 samples of plastic bags of different colors and different companies. The 39 samples were preliminarily divided into 3 categories according to different appearance colors. According to the content of inorganic elements measured by X-ray fluorescence spectrometer, the samples were further grouped by systematic clustering. The classification model was established by discriminant analysis, and the classification accuracy of the model for known samples reached 100%. Multiple linear regression analysis was used to test the classification results, and the classification results were consistent with the discriminant analysis results. Two unknown samples were substituted into the model for verification, and the model achieved 100% correct classification.
Keywords: X-ray fluorescence;express plastic bag;system clustering;discriminant analysis
2023, 49(1):71-74,91  收稿日期: 2021-05-26;收到修改稿日期: 2021-07-18
基金项目: 中央高校基本科研业务费项目（2019JKF427）
作者简介: 姜红(1963-),女,辽宁沈阳市人,教授,硕士生导师,主要从事微量物证的检验研究
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