Theranostics 2024; 14(5):1966-1981. doi:10.7150/thno.92621 This issue Cite
Review
1. Key Laboratory of Molecular Target & Clinical Pharmacology, and the NMPA & State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, 511436, Guangzhou, China.
2. School of Chemistry and Chemical Engineering, Guizhou University, 550025, Guiyang, China.
3. Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland.
Exosomes, carrying distinctive biomolecules reflective of their parent cell's status and origin, show promise as liquid biopsy biomarkers for cancer diagnosis. However, their clinical translation remains challenging due to their relatively low concentration in body fluids. Surface-Enhanced Raman spectroscopy (SERS) has recently gained significant attention as a label-free and sensitive technique for exosome analysis. This review explores label-free SERS for exosome detection, covering exosome isolation and characterization methods, advancements in SERS substrates, and fingerprint analysis techniques using machine learning. Furthermore, we emphasize the challenges and offer insights into the future prospects of SERS-based exosome analysis to enhance cancer diagnosis.
Keywords: Cancer diagnosis, Exosome, Raman Spectroscopy, SERS, label-free SERS