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Updated: May 26, 2025

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges
Linley Li Lin1, Ramon Alvarez-Puebla2,3, Luis M Liz-Marzán4,5,6,7
1Sixth People's Hospital, School of Medicine & School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for biomedical analysis. This review covers SERS advancements in substrates, nanotags, and applications for diagnostics and deep tissue imaging.
Area of Science:
- Biomedical Spectroscopy
- Nanotechnology
- Analytical Chemistry
Background:
- Surface-enhanced Raman spectroscopy (SERS) has become a critical biomedical tool due to its high sensitivity and molecular specificity.
- 2024 marks the 50th anniversary of SERS discovery, highlighting its significant evolution.
Purpose of the Study:
- To review recent advancements and challenges in SERS for biomedical applications.
- To discuss the potential of SERS in diagnostics, single-cell analysis, and in vivo imaging.
Main Methods:
- Review of key developments in SERS substrates (colloidal, solid, hydrogel architectures).
- Exploration of innovations in SERS nanotags (interior gaps, NIR-II responsive, biomimetic coatings).
- Discussion of emerging technologies (optical tweezers, plasmonic nanopores, wearable sensors) and spectral analysis (deep learning).
Main Results:
- Highlighting progress in SERS substrates with improved surface chemistry and hotspot design.
- Introducing novel SERS nanotags with enhanced functionalities for biological detection.
- Demonstrating expanded SERS capabilities for single-cell/molecule analysis and improved data quantification.
Conclusions:
- SERS shows significant potential in nucleic acid detection, protein/metabolite analysis, and single-cell monitoring.
- Emerging applications include liquid biopsy, metabolic phenotyping, and extracellular vesicle diagnostics.
- Clinical translation requires addressing challenges in in vivo sensing and commercialization.
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