• Laser & Optoelectronics Progress
  • Vol. 59, Issue 5, 0530004 (2022)
Wei Hou1, Jifen Wang1、*, Leiping Zhang2, Xinyu He1, and Yilin Xie2
Author Affiliations
  • 1School of Investigation, People's Public Security University of China, Beijing 100038, China
  • 2Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
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    DOI: 10.3788/LOP202259.0530004 Cite this Article
    Wei Hou, Jifen Wang, Leiping Zhang, Xinyu He, Yilin Xie. Spectral Pattern Recognition of Sedative-Hypnotic Drugs in the Perspective of Drug Safety[J]. Laser & Optoelectronics Progress, 2022, 59(5): 0530004 Copy Citation Text show less

    Abstract

    In order to achieve the accurate classification of sedative-hypnotic drugs, the infrared spectra data of 92 samples of 3 kinds of sedative-hypnotic drugs including benzodiazepine, phenothiazine, and barbital were collected. Then the classification model was constructed after data preprocessing. The experimental results show that the accuracy of series fusion is better than mean fusion and difference fusion. The random forest model was used for modeling and analysis after the fusion of the fingerprint region characteristic variables of the original spectrum and the first-order derivative spectrum. It could achieve thorough identification of three kinds of sedative-hypnotic drugs, with the accuracy up to 100%. The method is rapid and accurate, which can provide a new method and idea for the examination of hypnotics in judicial identification to a certain extent.