摘要
利用纸质快递文件袋上涂漆填料的差异,采用差分拉曼光谱法和化学计量学建立了一种快速无损的纸质快递文件袋的分类方法。将63个样品剪成0.5 cm×0.5 cm的小片,采用差分拉曼光谱仪采集其拉曼光谱图,根据不同填料的差分特征拉曼峰对样品进行初步分类。对原始光谱数据进行Z-score标准化后,采用K-means算法对初步分类结果进行细分,费歇尔判别分析法对细分结果进行验证,留一交叉验证法检验判别结果。结果显示:通过差分拉曼光谱特征峰的差异可将63个样品分为4类,其中48个样品为第I类样品(以碳酸钙为主要填料)。K-means算法可将第I类样品分为3组,费歇尔判别分析法验证其分类准确率达93.6%,留一交叉验证法所得判定结果准确率达87.2%,说明提出的方法可用于纸质快递文件袋的快速、准确鉴别。
A fast and non-destructive classification method for classification of paper express document bags was established by differential Raman spectroscopy and chemometrics,utilizing the differences in paint fillers on paper express document bags.The 63 samples were cut into small pieces with the size of 0.5 cm×0.5 cm,and their Raman spectra were collected using a differential Raman spectrometer.The samples were preliminarily classified based on the differential Raman characteristic peaks of different fillers.After Z-score standardization on the original spectral data,K-means algorithm was used to subdivide the preliminary classification results.Fischer discriminant analysis was used to verify the subdivision results,and leave-one-out cross validation method was used to test the results.It was shown that the 63 samples could be divided into 4 categories based on the differences in characteristic peaks of differential Raman spectra,among which 48 samples were divided into the class I of samples with main filter of calcium carbonate.The class I of samples was divided into 3 groups by K-means algorithm,and the classification accuracy obtained by Fischer discriminant analysis reached to 93.6%,with discriminant accuracy obtained by leave-one-out cross validation method of 87.2%,indicating that the proposed method could be used for fast and accurate identification of paper express document bags.
作者
周贯旭
姜红
胡晓光
章欣
黄凯
ZHOU Guanxu;JIANG Hong;HU Xiaoguang;ZHANG Xin;HUANG Kai(Collage of Investigation,People′s Public Security University of China,Beijing 100038,China;Criminal Investigation Department,Gansu Police Vocational College,Lanzhou 730046,China;Nanjing Jianzhi Instrument and Equipment Co.,Ltd.,Nanjing 210049,China)
出处
《理化检验(化学分册)》
CAS
CSCD
北大核心
2024年第4期418-422,共5页
Physical Testing and Chemical Analysis(Part B:Chemical Analysis)
基金
中国人民公安大学2021年度基本科研业务费重点项目(2021JKF212)。