文献类型：期刊文献

英文题名：Microarray chips based on surface-enhanced raman spectroscopy in biomedical fields: applications, challenges, and prospects

作者：Chen, Jianyu[1,2,3];He, Hongyan[1,2,3,4];Zhou, Kaijie[1,2,3];Mi, Yanle[1,2,3];Zhao, Di[1,2,3];Wang, Yuqin[1,2,3]

机构：[1]East China Univ Sci & Technol, Frontiers Sci Ctr Materiobiol & Dynam Chem, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Engn Res Ctr Biomed Mat, Minist Educ, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Sch Mat Sci & Engn, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Key Lab Ultrafine Mat, Minist Educ, Shanghai 200237, Peoples R China

年份：2026

卷号：227

外文期刊名：MICROCHEMICAL JOURNAL

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001788869600001)】；

基金：This work was supported by the National Key Research and Devel-opment Plan Project of China (2024YFA0919300) , the Basic Science Center Project of National Natural Science Foundation of China (T2288102

语种：英文

外文关键词：SERS; Microarray chips; Microfluid; Nanotags; Sensors; Biomedical detection

摘要：After decades of development, Surface-Enhanced Raman Spectroscopy (SERS) has evolved into a highly sensitive spectroscopic detection technique for on-site rapid testing and biomedical analysis. However, in practical applications, it still faces bottlenecks such as poor signal uniformity, limited high-throughput capability, and difficulty in achieving on-site rapid detection and miniaturization and integration. Therefore, the combination of SERS technology with microsystems can effectively overcome these issues. This review systematically summarizes the latest research advances in SERS-based microarray chips, including microneedles, micropillars, and microcavities, and combs through the integration strategies of SERS microarray chips with microfluidic chips. Furthermore, it elaborates on the application status and core advantages of these integrated systems in the fields of metabolite analysis, disease detection, drug monitoring and effect treatment. Finally, the review presents a forward-looking perspective on the future development of this field, proposing integrating wearable systems with portable Raman techniques, combining SERS with cutting-edge technologies such as machine learning, and constructing an advanced integrated diagnosis-therapy system.