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Numerical simulations of subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy
P Matousek1, M D Morris, N Everall
1Central Laser Facility, CCLRC Rutherford Appleton Laboratory, Didcot, Oxfordshire, OX11 0QX, UK. p.matousek@rl.ac.uk
Applied Spectroscopy
|January 5, 2006
Summary
We developed a model for spatially offset Raman spectroscopy (SORS) to predict Raman intensities. This model accurately reflects experimental data and suggests improvements for subsurface layer analysis.
Area of Science:
- Spectroscopy
- Optics
- Materials Science
Background:
- Spacially offset Raman spectroscopy (SORS) is a technique for analyzing subsurface layers in scattering media.
- Retrieving subsurface spectra from diffusely scattering media presents challenges due to surface layer interference.
Purpose of the Study:
- To develop the first elementary model for predicting Raman intensities in SORS experiments.
- To understand the influence of experimental variables on SORS measurements.
- To optimize SORS for enhanced subsurface layer analysis.
Main Methods:
- Development of a predictive model for Raman intensities based on experimental variables.
- Validation of the model against existing SORS experimental observations.
- Exploration of SORS application to multi-layer systems (e.g., three-layer).
Main Results:
- The model successfully reproduced key SORS observations, including intensity dependence on spatial offset.
- The model quantifies the contributions of top and sub-layers to the overall Raman spectrum.
- The model indicates that an annular collection geometry significantly improves data quality over point-collection.
Conclusions:
- The developed model provides a foundational understanding of SORS behavior.
- The findings suggest that optimizing collection geometry is crucial for effective subsurface analysis using SORS.
- The model can guide future experimental design for improved SORS performance.