TY - JOUR
T1 - Spatially offset Raman spectroscopy - how deep?
AU - Mosca, Sara
AU - Dey, Priyanka
AU - Salimi, Marzieh
AU - Gardner, Benjamin
AU - Palombo, Francesca
AU - Stone, Nick
AU - Matousek, Pavel
N1 - Funding Information:
This work was supported by the Engineering and Physical Sciences Research Council grant EP/R020965/1.
Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.
PY - 2021/5/4
Y1 - 2021/5/4
N2 - Spatially offset Raman spectroscopy (SORS) is a technique for interrogating the subsurface composition of turbid samples noninvasively. This study generically addresses a fundamental question relevant to a wide range of SORS studies, which is how deep SORS probes for any specific spatial offset when analyzing a turbid sample or, in turn, what magnitude of spatial offset one should select to probe a specific depth. This issue is addressed by using Monte Carlo simulations, under the assumption of negligible absorption, which establishes that the key parameter governing the extent of the probed zone for a point-like illumination and point-like collection SORS geometry is the reduced scattering coefficient of the medium. This can either be deduced from literature data or directly estimated from a SORS measurement by evaluating the Raman intensity profile from multiple spatial offsets. Once this is known, the extent of the probed zone can be determined for any specific SORS spatial offset using the Monte Carlo simulation results presented here. The proposed method was tested using experimental data on stratified samples by analyzing the signal detected from a thin layer that was moved through a stack of layers using both non-absorbing and absorbing samples. The proposed simple methodology provides important additional information on SORS measurements with direct relevance to a wide range of SORS applications including biomedical, pharmaceutical, security, forensics, and cultural heritage.
AB - Spatially offset Raman spectroscopy (SORS) is a technique for interrogating the subsurface composition of turbid samples noninvasively. This study generically addresses a fundamental question relevant to a wide range of SORS studies, which is how deep SORS probes for any specific spatial offset when analyzing a turbid sample or, in turn, what magnitude of spatial offset one should select to probe a specific depth. This issue is addressed by using Monte Carlo simulations, under the assumption of negligible absorption, which establishes that the key parameter governing the extent of the probed zone for a point-like illumination and point-like collection SORS geometry is the reduced scattering coefficient of the medium. This can either be deduced from literature data or directly estimated from a SORS measurement by evaluating the Raman intensity profile from multiple spatial offsets. Once this is known, the extent of the probed zone can be determined for any specific SORS spatial offset using the Monte Carlo simulation results presented here. The proposed method was tested using experimental data on stratified samples by analyzing the signal detected from a thin layer that was moved through a stack of layers using both non-absorbing and absorbing samples. The proposed simple methodology provides important additional information on SORS measurements with direct relevance to a wide range of SORS applications including biomedical, pharmaceutical, security, forensics, and cultural heritage.
KW - UKRI
KW - EPSRC
KW - EP/R020965/1
UR - http://www.scopus.com/inward/record.url?scp=85106433233&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.1c00490
DO - 10.1021/acs.analchem.1c00490
M3 - Article
AN - SCOPUS:85106433233
SN - 0003-2700
VL - 93
SP - 6755
EP - 6762
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 17
ER -