Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges.
Lin LL., Alvarez-Puebla R., Liz-Marzán LM., Trau M., Wang J., Fabris L., Wang X., Liu G., Xu S., Han XX., Yang L., Shen A., Yang S., Xu Y., Li C., Huang J., Liu S-C., Huang J-A., Srivastava I., Li M., Tian L., Nguyen LBT., Bi X., Cialla-May D., Matousek P., Stone N., Carney RP., Ji W., Song W., Chen Z., Phang IY., Henriksen-Lacey M., Chen H., Wu Z., Guo H., Ma H., Ustinov G., Luo S., Mosca S., Gardner B., Long Y-T., Popp J., Ren B., Nie S., Zhao B., Ling XY., Ye J.
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.