分析化学2026，Vol.54Issue(5)：855-864,10.DOI:10.19756/j.issn.0253-3820.251270
机器学习赋能的毒品检测技术的研究进展
Research Advances in Drug Detection Technology Enabled by Machine Learning
摘要
Abstract
With the continuous development of drug detection technologies,there has been a growing variety of detection methods with increasingly high sensitivity.However,drug types are updating at an ever-faster pace,and existing detection technologies still have limitations in identifying trace drugs,drugs in complex matrices,and newly emerging drugs.Against the backdrop of accelerated global digital and intelligent transformation,machine learning has been effectively applied in numerous fields.Boasting excellent predictive and decision-making capabilities,machine learning,when combined with traditional drug detection technologies,can enhance the detection capacity for complex drug samples,compensate for the shortcomings in existing drug detection techniques,and provide more efficient technical means for drug detection.This paper introduced the machine learning algorithms commonly used in drug detection,reviewed the research progress of traditional drug detection technologies empowered by machine learning,and prospected the application prospects in this field,aiming to provide references for the future development of drug detection technologies.关键词
机器学习/毒品检测/复杂基质/评述Key words
Machine learning/Illicit drug detection/Complex matrix/Review引用本文复制引用
吕建华,陈俊秋,杨发震,殷勤红,陈静..机器学习赋能的毒品检测技术的研究进展[J].分析化学,2026,54(5):855-864,10.基金项目
智慧禁毒重点实验室内部课题项目(No.ZHJDNB-2025009)、云南警官学院校级科研项目重点课题项目(No.21A022)、国家自然科学基金项目(No.82260337)和云南省智慧禁毒重点实验室开放课题项目(No.ZHJD-2023KF-05)资助. Supported by the Internal Research Project of Yunnan Key Laboratory of Intelligent Drugs Control(No.ZHJDNB-2025009),the Scientific Research Fund of Yunnan Police College for 2021(No.21A022),the National Natural Science Foundation of China(No.82260337)and the Open Research Project of Yunnan Key Laboratory of Intelligent Drugs Control(No.ZHJD-2023KF-05). （No.ZHJDNB-2025009）
