分析化学2025，Vol.53Issue(4)：505-515,11.DOI:10.19756/j.issn.0253-3820.251034
基于表面增强拉曼光谱的生物样品中毒品检测研究进展
Research Progress on Detection of Illicit Drug in Biological Samples Based on Surface-Enhanced Raman Spectroscopy
摘要
Abstract
One of the key elements in effectively combating drug crimes is identification and management of drug users.Developing efficient and rapid detection methods for drugs and their metabolites in biological samples such as blood,urine,and hair are crucial for the screening and identification of potential drug users.Since most of the parent drugs are metabolized after entering the body,challenges such as reduced residue levels,numerous metabolites,and complex biological sample matrices arise,posing higher requirements on the specificity and sensitivity of detection technologies.Surface-enhanced Raman spectroscopy(SERS)offers advantages including fingerprint identification,high sensitivity,high accuracy,high selectivity,and non-destructiveness,enabling precise detection of trace amounts of drugs in complex biological samples.This paper reviewed the application progress of SERS technique in drug detection of biological samples,focusing on the selection and preparation of SERS enhancement substrates,detection methods,and the research advancements of SERS combined with other technologies.The detection capabilities and applicability of SERS in this field were summarized,and the challenges and development trends faced by SERS in detection of trace drugs in biological samples were discussed.关键词
表面增强拉曼光谱/生物样品/毒品/联用技术/评述Key words
Surface-enhanced Raman spectroscopy/Biological samples/Illicit drug/Technology integration/Review引用本文复制引用
李敏,周吉,孙健..基于表面增强拉曼光谱的生物样品中毒品检测研究进展[J].分析化学,2025,53(4):505-515,11.基金项目
国家自然科学基金项目(No.21974132)、新疆医科大学高层次人才启动项目和国家级科研创新人才培育项目(No.XYD2024GR03)资助. Supported by the National Natural Science Foundation of China(No.21974132),the High-level Talents Start-up Project of Xinjiang Medical University,and the National Research Innovation Talents Cultivation Project(No.XYD2024GR03). （No.21974132）
