分析测试学报2025，Vol.44Issue(8)：1526-1538,13.DOI:10.12452/j.fxcsxb.250331251
表面增强拉曼光谱技术在新污染物快速检测领域的最新应用进展
Recent Advances in Surface-enhanced Raman Scattering Technology for Rapid Detection of Emerging Contaminants
摘要
Abstract
Emerging contaminants(ECs)refer to a class of chemical substances that are detectable in the environment and natural ecosystems and may pose potential risks to human health and environ-mental safety,even at low concentrations.ECs of global concern include persistent organic pollut-ants regulated by international conventions,endocrine-disrupting chemicals,antibiotics,and mi-croplastics.Surface-enhanced Raman scattering(SERS)has demonstrated significant potential for ef-ficient identification and quantitative analysis of ECs due to its advantages of high sensitivity,rapid response,and non-destructive detection.This paper systematically reviews the basic principles and enhancement mechanisms of SERS technology,with a focus on key strategies and recent advance-ments in improving the sensitivity,selectivity,and practicality of the substrates.Furthermore,the paper outlines the latest research trends in ultra-sensitive detection of various ECs using SERS,with particular emphasis on the application of artificial intelligence algorithms in SERS spectral data pro-cessing and ECs identification.Finally,the paper discusses the challenges of detecting ECs in com-plex environmental samples using current technologies and provides an outlook on future research di-rections and application prospects.关键词
新污染物(ECs)/表面增强拉曼光谱(SERS)/增强策略/基底实用性/人工智能(AI)Key words
emerging contaminants(ECs)/surface-enhanced Raman scattering(SERS)/enhanc-ing strategies/substrate practicality/AI分类
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马静,张艺严,张文韬,李鱼,杜晶晶,孙振丽..表面增强拉曼光谱技术在新污染物快速检测领域的最新应用进展[J].分析测试学报,2025,44(8):1526-1538,13.基金项目
国家自然科学基金资助项目(U21A20290) （U21A20290）
