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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
PubMed
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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.

Related Experiment Videos

  • 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.