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12:21
Stimulated Stokes and Antistokes Raman Scattering in Microspherical Whispering Gallery Mode Resonators
Published on: April 4, 2016
Resonance contributions to anti-Stokes/Stokes ratios under surface enhanced Raman scattering conditions
1The Blackett Laboratory, Imperial College London, Prince Consort Road, London SW7 2BW, United Kingdom. Robert.Maher@imperial.ac.uk
The Journal of Chemical Physics
|September 17, 2005
Summary
Surface-enhanced Raman scattering (SERS) asymmetries arise from electromagnetic coupling between analytes and metal surfaces. The anti-Stokes/Stokes ratio reveals resonance hierarchies crucial for SERS quantification.
Area of Science:
- Spectroscopy and Analytical Chemistry
- Surface Science
- Nanomaterials
Background:
- Surface-Enhanced Raman Scattering (SERS) is a powerful technique for sensitive molecular detection.
- Asymmetries between anti-Stokes and Stokes signals in SERS have been observed but not fully understood.
- Understanding these asymmetries is key to improving SERS quantification.
Purpose of the Study:
- To investigate the origins of anti-Stokes/Stokes asymmetries in SERS.
- To identify the role of underlying resonances in creating these asymmetries.
- To establish the anti-Stokes/Stokes ratio as a quantitative tool for SERS resonance analysis.
Main Methods:
- Studying SERS on diverse SERS-active substrates.
- Analyzing various analyte molecules.
- Correlating spectral asymmetries with electromagnetic coupling phenomena.
Main Results:
- Evidence for underlying resonances causing anti-Stokes/Stokes asymmetries is presented.
- These resonances are directly linked to electromagnetic coupling between the analyte and the metal.
- The anti-Stokes/Stokes ratio effectively probes the hierarchy of SERS resonances.
Conclusions:
- Electromagnetic coupling is the primary driver of SERS anti-Stokes/Stokes asymmetries.
- The anti-Stokes/Stokes ratio provides a valuable metric for understanding and quantifying SERS resonance phenomena.
- This work enhances the reliability and applicability of SERS for quantitative analysis.
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