Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges

材料科学 纳米技术 拉曼光谱 表面增强拉曼光谱 光谱学 工程物理 拉曼散射 光学 工程类 量子力学 物理
作者
Li Lin,Ramón A. Álvarez‐Puebla,Luis M. Liz‐Marzán,Matt Trau,Jing Wang,Laura Fabris,Xiang Wang,Guokun Liu,Shuping Xu,Xiao Han,Liangbao Yang,Aiguo Shen,Shikuan Yang,Yikai Xu,Chunchun Li,Jinqing Huang,Shao-Chuang Liu,Jian‐An Huang,Indrajit Srivastava,Ming Li
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:17 (11): 16287-16379 被引量:234
标识
DOI:10.1021/acsami.4c17502
摘要

Abstract The year 2024 marks the 50th anniversary of the discovery of surface-enhanced Raman spectroscopy (SERS). Over recent years, SERS has experienced rapid development and became a critical tool in biomedicine with its unparalleled sensitivity and molecular specificity. This review summarizes the advancements and challenges in SERS substrates, nanotags, instrumentation, and spectral analysis for biomedical applications. We highlight the key developments in colloidal and solid SERS substrates, with an emphasis on surface chemistry, hotspot design, and 3D hydrogel plasmonic architectures. Additionally, we introduce recent innovations in SERS nanotags, including those with interior gaps, orthogonal Raman reporters, and near-infrared-II-responsive properties, along with biomimetic coatings. Emerging technologies such as optical tweezers, plasmonic nanopores, and wearable sensors have expanded SERS capabilities for single-cell and single-molecule analysis. Advances in spectral analysis, including signal digitalization, denoising, and deep learning algorithms, have improved the quantification of complex biological data. Finally, this review discusses SERS biomedical applications in nucleic acid detection, protein characterization, metabolite analysis, single-cell monitoring, and in vivo deep Raman spectroscopy, emphasizing its potential for liquid biopsy, metabolic phenotyping, and extracellular vesicle diagnostics. The review concludes with a perspective on clinical translation of SERS, addressing commercialization potentials and the challenges in deep tissue in vivo sensing and imaging.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
龙达绝澈发布了新的文献求助10
1秒前
赘婿应助liruihao采纳,获得10
1秒前
2秒前
李博发布了新的文献求助10
2秒前
细心盼望发布了新的文献求助10
2秒前
3秒前
充电宝应助儒雅惠采纳,获得10
3秒前
林林完成签到,获得积分10
4秒前
5秒前
6秒前
7秒前
xue发布了新的文献求助10
7秒前
yousheng完成签到,获得积分10
9秒前
9秒前
yellow发布了新的文献求助10
9秒前
9秒前
枣木完成签到 ,获得积分10
10秒前
脑洞疼应助龙达绝澈采纳,获得10
10秒前
10秒前
10秒前
lobster应助董思怡采纳,获得30
11秒前
11秒前
孤独的根号三完成签到,获得积分10
12秒前
13秒前
LRZ发布了新的文献求助10
13秒前
雨霖铃完成签到,获得积分10
14秒前
无花果应助蔥Cong采纳,获得10
14秒前
15秒前
16秒前
秒速五厘米应助Regulus.采纳,获得10
17秒前
17秒前
dyan完成签到,获得积分10
17秒前
xx完成签到,获得积分10
18秒前
小迪完成签到 ,获得积分10
18秒前
21秒前
LRZ完成签到,获得积分10
21秒前
Owen应助燕儿采纳,获得10
22秒前
梨梨发布了新的文献求助10
23秒前
23秒前
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781381
求助须知:如何正确求助?哪些是违规求助? 9321169
关于积分的说明 20381677
捐赠科研通 7369212
什么是DOI,文献DOI怎么找? 3320035
关于科研通互助平台的介绍 2467849
邀请新用户注册赠送积分活动 2335930