Surface-Enhanced Raman Spectroscopy in Protein Detection
Summary
Surface-Enhanced Raman Spectroscopy (SERS) harnesses the plasmonic properties of metal nanostructures to amplify the intrinsic vibrational signatures of proteins, enabling detection at physiological and even single-molecule concentrations. By positioning proteins in close proximity to engineered surfaces—most often silver or gold nanoparticles, nanostructured films or dynamic hotspots—the local electromagnetic field is dramatically enhanced, leading to Raman scattering intensities several orders of magnitude greater than conventional Raman spectroscopy. This approach allows label-free analysis of protein conformation, dynamics and interactions under near-native conditions. Recent advances in instrumentation and substrate design have addressed longstanding challenges in reproducibility, sensitivity and specificity, facilitating applications ranging from real-time monitoring of folding pathways and aggregation states to direct discrimination of disease biomarkers in complex biofluids. Integration with microfluidic platforms, optical manipulation tools and statistical methods has further expanded the scope of SERS for detailed characterisation of transient species, membrane-protein interactions and quantitative imaging of protein distributions in biological samples.
Research from Nature Portfolio
Recent studies have demonstrated the combination of optical tweezers with nanoparticle-coated beads to create a tunable SERS hotspot that traps single proteins within a microfluidic flow chamber. This configuration yields highly reproducible enhancements and resolves structural heterogeneity of globular proteins and transient oligomeric species at physiological concentrations. In a complementary approach, controlled evaporation in an optofluidic microwell has been used to assemble protein domains at a liquid edge, preserving native conformations while concentrating analytes at mesoscale assemblies. The addition of a plasmonic coating to the microwell wall further amplifies the Raman signal, achieving sub-micromolar detection limits without denaturation and demonstrating the feasibility of high-quality, high-sensitivity spectral collection under dynamic conditions.
Surface-Enhanced Raman Spectroscopy in Protein Detection publication trend
The graph below shows the total number of articles in surface-enhanced raman spectroscopy in protein detection across all publications each year (not limited to Nature Index journals).
Technical terms
Surface-Enhanced Raman Spectroscopy (SERS): enhancement of Raman scattering by molecules at or near a plasmonic surface, enabling sensitive vibrational fingerprinting of biomolecules.
Plasmonic hotspot: a highly localised region of amplified electromagnetic field on a metallic nanostructure where Raman signals are greatly intensified.
Optical tweezers: a laser-based technique for non-contact trapping and manipulation of microscopic particles, used here to position and control nanostructured SERS substrates.
Correlation coefficient analysis: a statistical method for quantifying the similarity between SERS spectra, often used to assess the native state of proteins.
References
- Optical tweezers-controlled hotspot for sensitive and reproducible surface-enhanced Raman spectroscopy characterization of native protein structures. Nature Communications (2021).
- Triggering molecular assembly at the mesoscale for advanced Raman detection of proteins in liquid. Scientific Reports (2018).
- Protein Quantification and Imaging by Surface‐Enhanced Raman Spectroscopy and Similarity Analysis. Advanced Science (2020).
- Correlation coefficient-directed label-free characterization of native proteins by surface-enhanced Raman spectroscopy. Chemical Science (2022).
- Tunable lipid-coated nanoporous silver sheet for characterization of protein-membrane interactions by surface-enhanced Raman scattering (SERS). Analytical and Bioanalytical Chemistry (2023).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.