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Cited by 209

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Numerical Simulations of Subsurface Probing in Diffusely Scattering Media Using Spatially Offset Raman Spectroscopy

Open access
Matousek, P., Morris, M. D., Everall, N., Clark, I. P., Towrie, M., Draper, E., Goodship, A., Parker, A. W.·2005·Applied Spectroscopy

Abstract

We present the first elementary model predicting how Raman intensities vary for a range of experimental variables for spatially offset Raman spectroscopy (SORS), a recently proposed technique for the effective retrieval of Raman spectra of subsurface layers in diffusely scattering media. The model was able to reproduce the key observations made from the first SORS experiments, namely the dependence of Raman signal intensities on the spatial offset between the illumination and collection points and the relative contributions to the overall spectrum from the top layer and sub-layer. The application of the SORS concept to a three-layer system is also discussed. The model also clearly indicates that an annular geometry, rather than a point-collection geometry, which was used in the earlier experiments, would yield much improved data.

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Metadata

Authors
Matousek, P., Morris, M. D., Everall, N., Clark, I. P., Towrie, M., Draper, E., Goodship, A., & Parker, A. W.
Venue
Applied Spectroscopy
Published
2005-12
Volume
59
Issue
12
Pages
1485-1492
ISSN
  • 0003-7028 (ISSN-L)
  • 1943-3530
OpenAlex
W1972383782
Cited by
209
References
0
FWCI
4.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Numerical Simulations of Subsurface Probing in Diffusely Scattering Media Using Spatially Offset Raman Spectroscopy. https://app.cochat.ai/papers/10.1366/000370205775142548
The paper
Matousek, P., Morris, M. D., Everall, N., Clark, I. P., Towrie, M., Draper, E., Goodship, A., & Parker, A. W. (2005). Numerical Simulations of Subsurface Probing in Diffusely Scattering Media Using Spatially Offset Raman Spectroscopy. Applied Spectroscopy. https://doi.org/10.1366/000370205775142548

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.