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Advancements in SERS: Revolutionizing Biomedical Analysis and Applications
Panangattukara Prabhakaran Praveen Kumar1, Shivanjali Saxena2,3, Rakesh Joshi3
1Department of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Nanotheranostics
|September 17, 2025
Summary
Surface-enhanced Raman scattering (SERS) offers ultrasensitive bioanalysis. Advances in nano- and microfabricated SERS sensors, coupled with AI, enhance molecular detection for diagnostics and personalized medicine.
Area of Science:
- Nanotechnology and Spectroscopy
- Biomedical Engineering
- Analytical Chemistry
Background:
- Surface-enhanced Raman scattering (SERS) provides ultrasensitive molecular detection for bioanalysis.
- Analyte signal intensity in SERS depends on plasmonic material surface roughness and nanogap architecture.
- Optimized nanogaps (0.5–1.0 nm) between nanoparticles and analytes enable single-molecule detection.
Purpose of the Study:
- To review innovations in nano- and microfabricated SERS sensors for biomolecular detection.
- To highlight design, fabrication, and functionalization strategies for SERS bioanalysis.
- To explore the role of artificial intelligence (AI) in SERS-based diagnostics.
Main Methods:
- Review of recent advancements in SERS sensor design and fabrication.
- Analysis of functionalization strategies for enhanced biomolecular detection.
- Examination of AI applications in SERS spectral processing and pattern recognition.
Main Results:
- Nano- and microfabrication techniques have significantly improved SERS substrate efficiency for biomedical applications.
- Optimized nanogap engineering is crucial for achieving high Raman enhancement and single-molecule sensitivity.
- AI integration shows promise for advanced spectral analysis and diagnostic model development.
Conclusions:
- Advanced SERS sensors, enabled by nano- and microfabrication, are revolutionizing bioanalysis.
- AI is increasingly vital for optimizing SERS data processing and diagnostic capabilities.
- The synergy of SERS and AI paves the way for point-of-care diagnostics and personalized medicine.
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