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Raman Scattering-Based Biosensing: New Prospects and Opportunities.
Kseniya V Serebrennikova1, Anna N Berlina1, Dmitriy V Sotnikov1
1A.N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.
Biosensors
|December 23, 2021
Summary
Raman spectroscopy techniques, especially surface-enhanced Raman spectroscopy (SERS), offer powerful tools for biosensing. Advances in SERS and combined methods enhance signal detection for biomolecule analysis and bioimaging in biosensor development.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Biotechnology
Background:
- Raman spectroscopy identifies molecules via inelastic light scattering.
- Spontaneous Raman scattering is weak, posing detection challenges.
- Enhanced Raman techniques like SERS amplify signals for biosensing.
Purpose of the Study:
- Review advancements in Raman spectroscopy for biosensor applications.
- Highlight SERS and combined techniques (e.g., SERRS, SE-CARS, SE-SRS).
- Discuss strategies for developing effective Raman-based biosensors.
Main Methods:
- Surface-Enhanced Raman Spectroscopy (SERS)
- Resonance Raman Spectroscopy (RRS)
- Nonlinear Raman Spectroscopy (CARS, SRS)
- Combined SERS techniques (SERRS, SE-CARS, SE-SRS)
Main Results:
- SERS and combined nonlinear/resonant techniques significantly enhance signal detection.
- These methods improve speed, spatial resolution, and sensitivity for biomolecule analysis.
- Recent advances enable applications in bioimaging and biosensing.
Conclusions:
- Raman spectroscopy, particularly SERS-based methods, shows great promise for biosensor technology.
- Key development strategies include reproducible SERS substrates, SERS nanotags, and on-site testing platforms.
- Further research can optimize these techniques for advanced biological sample analysis.
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