Non-destructive Classification of Psychotropic Drugs Based on Spectroscopy from the Perspective of Public Security

LI Jia-rui; WANG Ji-fen; LIU Jin-tong

doi:10.19969/j.fxcsxb.21042601

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Non-destructive Classification of Psychotropic Drugs Based on Spectroscopy from the Perspective of Public Security

Experimental Techniques and Methods | 更新时间：2023-01-04

- Non-destructive Classification of Psychotropic Drugs Based on Spectroscopy from the Perspective of Public Security
- Journal of Instrumental Analysis Vol. 41, Issue 2, Pages: 276-282(2022)
- 作者机构：
  
  中国人民公安大学侦查学院，北京 100038
- 作者简介：
- 基金信息：
- DOI：10.19969/j.fxcsxb.21042601
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李佳瑞,王继芬,刘津彤.公共安全视域下精神药物光谱学无损分类[J].分析测试学报,2022,41(02):276-282.

LI Jia-rui,WANG Ji-fen,LIU Jin-tong.Non-destructive Classification of Psychotropic Drugs Based on Spectroscopy from the Perspective of Public Security[J].Journal of Instrumental Analysis,2022,41(02):276-282.
李佳瑞,王继芬,刘津彤.公共安全视域下精神药物光谱学无损分类[J].分析测试学报,2022,41(02):276-282. DOI： 10.19969/j.fxcsxb.21042601.

LI Jia-rui,WANG Ji-fen,LIU Jin-tong.Non-destructive Classification of Psychotropic Drugs Based on Spectroscopy from the Perspective of Public Security[J].Journal of Instrumental Analysis,2022,41(02):276-282. DOI： 10.19969/j.fxcsxb.21042601.

摘要

该文对苯二氮,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280402&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280408&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280406&type=,3.17278767,3.17601132,类和吩噻嗪类镇静安眠药样品的红外光谱数据进行采集，构建了不同数据分类模型并对比了不同波段光谱数据集对其分析准确率的影响。结果表明，借助贝叶斯判别分析的基于全波段数据集的二阶导数模型分类效果优于其他单一模型，对于苯二氮,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280402&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280408&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280406&type=,3.17278767,3.17601132,类和吩噻嗪类两个不同类型精神药物的总体分类准确率达92.7%。借助贝叶斯判别分析的基于全波段和指纹区融合数据集的二阶导数融合模型分类效果最佳，对苯二氮,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280402&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280408&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280406&type=,3.17278695,3.17601204,类和吩噻嗪类两个不同类型精神药物的总体分类准确率达到100%；对苯二氮,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280402&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280408&type=,http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=37280406&type=,3.17278671,3.17601252,类和吩噻嗪类中不同种类精神药物的总体分类准确率则分别达到96.7%和100%。该研究实现了不同类型及同一类型不同种类镇静安眠药的快速准确定性分析，为此类管制类药物走私案件的准确定性提供了一定的技术支持。

Abstract

In order to maintain the public safety and order of the society，and achieve fast non-destructive and accurate qualitative analysis for drugs，the infrared spectrum data for benzodiazepines and phenothiazines samples were collected in the experiment to construct different data classification models and compare the effects of different spectral data sets on the accuracy of their analysis．In the process of identifying and classifying the two types of psychotropic substances，benzodiazepines and phenothiazines，the second-derivative model based on the full spectra was better than other single models，whose overall classification accuracy rate reached 92.7%．Combined with Bayes discriminant analysis，the second-derivative classification model based on the full spectra and fingerprint spectra fusion performed the best in the process of identifying and classifying the two types of psychotropic substances，benzodiazepines and phenothiazines，with an overall classification accuracy rate reaching to 100%．Meanwhile，in the process of identifying and classifying different kinds of psychotropic substances in the same type，its overall classification accuracy rates for various kinds of psychotropic substances in benzodiazepines and phenothiazines reached 96.7% and 100%，respectively．This research realized the rapid and accurate qualitative analysis of different types，as well as different kinds of sleeping pills of the same type，providing a certain technical support for the accurate qualitative analysis of such smuggling controlled drug cases．

关键词

光谱融合公共安全精神药物贝叶斯判别分析多层感知器

Keywords

spectral fusionpublic securitypsychotropic drugsBayes discriminant analysismultilayer perceptron

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