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基于红外光谱技术的毒品检测研究进展
引用本文:金洁. 基于红外光谱技术的毒品检测研究进展[J]. 红外, 2023, 44(3): 42-48
作者姓名:金洁
作者单位:公安部第三研究所
基金项目:公安部第三研究所2022年度基本科研业务费专项资金项目重点项目(C22390)
摘    要:聚焦于红外光谱技术在毒品检测领域的研究和应用现状,主要介绍了将傅里叶变换衰减全反射红外光谱技术(Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy, ATR-FTIR)用于毒品定性分析和混合毒品分类分析以及将近红外光谱技术用于毒品定量和溯源分析的相关研究。红外光谱凭借自身准确、简便、快速、实用的特点,与化学计量学的多种算法进行有效结合,可进一步为毒品的判断、分类、溯源提供量化指标。随着与机器学习、神经网络等人工智能技术的进一步融合,红外光谱技术将在未来的毒品实验室分析和现场快速检测中发挥巨大作用。

关 键 词:红外光谱  化学计量学  毒品  检测
收稿时间:2022-11-23
修稿时间:2023-01-13

Research Progress of Drug Detection Based on Infrared Spectroscopy
jinjie. Research Progress of Drug Detection Based on Infrared Spectroscopy[J]. Infrared, 2023, 44(3): 42-48
Authors:jinjie
Affiliation:The Third Research Institute of the Ministry of Public Security
Abstract:The research and application of infrared spectroscopy in the field of drug detection are focused on in this paper. ATR-FTIR used for qualitative analysis of drugs and classification of mixed drugs, and near-infrared spectroscopy used for quantitative and traceability analysis of drugs are introduced. By virtue of its characteristics of accuracy, simplicity, rapidity and practicality, infrared spectrum is effectively combined with a variety of stoichiometric algorithms, which can further provide quantitative indicators for the judgment, classification and tracing of drugs. With the further integration with artificial intelligence technologies such as machine learning and neural networks, infrared spectroscopy technology will play a huge role in the future laboratory analysis and rapid field detection of drugs.
Keywords:infrared spectrum   chemometrics   drug   detection
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