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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
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Application of SERS in In-Vitro Biomedical Detection
Yunfan Chen1,2, Qi An1,2, Kaixuan Teng1,2
1School of Materials Science and Technology, China University of Geosciences, Beijing, 100083, P. R. China.
Chemistry, an Asian Journal
|December 29, 2022
Summary
Surface-enhanced Raman scattering (SERS) offers rapid, non-destructive biological detection for early clinical diagnosis. Recent advancements focus on substrate engineering and data analysis to improve on-spot detection of diseases like cancer and infections.
Area of Science:
- Biomedical Diagnostics
- Analytical Chemistry
- Spectroscopy
Background:
- Surface-enhanced Raman scattering (SERS) is a powerful technique for rapid, non-destructive biological sample analysis.
- On-spot detection of biomedical samples presents significant challenges in clinical settings.
- SERS shows great promise for early diagnosis and point-of-care applications.
Purpose of the Study:
- To summarize recent developments in SERS for biomedical detection.
- To highlight SERS applications in various clinical diagnostics.
- To discuss strategies for enhancing SERS performance in biomedical contexts.
Main Methods:
- Review of SERS substrate engineering (structural and component).
- Analysis of SERS detection strategies for biomolecules (nucleic acids, proteins) and pathogens (bacteria, viruses).
- Exploration of SERS combined with other analytical techniques.
Main Results:
- SERS substrates and detection strategies have been significantly advanced.
- Promising applications demonstrated in cancer detection, infectious disease screening, and neurological disorder diagnosis.
- Integration of SERS with other analytical methods enhances detection capabilities.
Conclusions:
- SERS is a rapidly evolving field with substantial potential for clinical diagnostics.
- Ongoing research addresses challenges in substrate design and data processing for improved SERS performance.
- Future perspectives include broader clinical adoption and integration into point-of-care testing.

