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Subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy
P Matousek1, I P Clark, E R C Draper
1Central Laser Facility, CCLRC Rutherford Appleton Laboratory, Didcot, Oxfordshire, OX11 0QX, United Kingdom.
Applied Spectroscopy
|May 20, 2005
Summary
This study introduces a novel Raman spectroscopy method to effectively retrieve subsurface spectra from scattering materials. The technique enhances subsurface signal detection, improving contrast for deeper material analysis.
Area of Science:
- Spectroscopy
- Materials Science
- Optics
Background:
- Retrieving subsurface information from diffusely scattering media is challenging.
- Conventional methods like confocal microscopy have limited depth penetration.
- Surface signals often obscure valuable subsurface data in Raman spectroscopy.
Purpose of the Study:
- To develop a simple methodology for effective retrieval of Raman spectra from subsurface layers.
- To eliminate surface Raman scatter and enhance subsurface signal detection.
- To demonstrate the applicability of the technique for depths beyond conventional confocal microscopy.
Main Methods:
- Collecting Raman scattered light from surface regions laterally offset from the excitation laser spot.
- Utilizing multivariate data analysis to process spectral data and isolate pure layer spectra.
- Testing the methodology on a two-layer sample: trans-stilbene powder beneath a poly(methyl methacrylate) over-layer.
Main Results:
- The developed method yields Raman spectra with variations in relative intensities of surface and subsurface layers.
- Pure Raman spectra of individual sample layers were successfully obtained, effectively eliminating surface scatter.
- A 19-fold improvement in contrast for the subsurface trans-stilbene layer was achieved without numerical processing.
Conclusions:
- The described methodology enables effective retrieval of subsurface Raman spectra from diffusely scattering media.
- This technique offers a significant advancement for non-invasive subsurface probing in various fields.
- Potential applications include biomedical diagnostics (bone quality, dermatology) and materials/catalyst research.