扫描电镜/能谱法对粉底液的检测分类研究  

Study on Detection and Classification of Liquid Foundation by SEM/EDS

作　　者：倪昕蕾 李春宇[1] 孔维刚[2] Ni Xinlei;Li Chunyu;Kong Weigang(School of Investigation,People's Public Security University of China,Beijing 100038,China;Institute of Criminal Science and Technology,Zhengzhou Public Security Bureau,Zhengzhou Henan 450000,China)

机构地区：[1]中国人民公安大学侦查学院,北京100038 [2]郑州市公安局刑事科学技术研究所,河南郑州450000

出　　处：《山西化工》2024年第1期82-85,93,共5页Shanxi Chemical Industry

摘　　要：为建立一种将扫描电镜/能谱法与多元统计学结合检测粉底液物证的方法。对收集到的50个粉底液样本进行前处理,利用扫描电镜/能谱仪对样本进行分析测试,将50个样本大致分成2大类;结合K-Means聚类对实验数据进行处理,将2大类样本细化分为4类;最后利用随机森林算法搭建分类模型,40个样本作为训练集,10个样本作为测试集,测试集的预测正确率达到86.6%,预测效果良好,可实现样本分类自动化。此方法操作简单,可实现无损检材、分类效果良好,可直接用于公安机关侦查破案,在法庭科学领域有广阔的应用前景。In order to establish a method that combines scanning electron microscopy/energy dispersive spectrometry with multivariate statistics to detect the physical evidence of liquid foundation,the 50 liquid foundation samples collected were pretreated,analyzed and tested by SEM/EDS.The 50 samples were roughly divided into two categories.By combining K-Means clustering to process experimental data,the two major categories of samples were further divided into four categories;Finally,a classification model was constructed using the random forest algorithm,with 40 samples as the training set and 10 samples as the testing set.The prediction accuracy of the testing set reached 86.6%,and the prediction effect was good,which can achieve sample classification automation.This method is easy to operate,can achieve non-destructive testing of materials,and has good classification effects.It can be directly used for investigating and solving cases in public security organs,and has broad application prospects in the field of court science.

关 键 词：扫描电镜/能谱仪 粉底液 主成分分析法 聚类分析 随机森林 

分 类 号：O657[理学—分析化学]