Spatially Offset Raman Spectroscopy — How Deep?
dc.contributor.author | Mosca, S | |
dc.contributor.author | Dey, P | |
dc.contributor.author | Salimi, M | |
dc.contributor.author | Gardner, B | |
dc.contributor.author | Palombo, F | |
dc.contributor.author | Stone, N | |
dc.contributor.author | Matousek, P | |
dc.date.accessioned | 2021-04-22T11:07:28Z | |
dc.date.issued | 2021-04-22 | |
dc.description.abstract | Spatially Offset Raman Spectroscopy (SORS) is a technique for interrogating 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 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. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Published online 22 April 2021 | en_GB |
dc.identifier.doi | 10.1021/acs.analchem.1c00490 | |
dc.identifier.grantnumber | EP/R020965/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/125442 | |
dc.language.iso | en | en_GB |
dc.publisher | American Chemical Society | en_GB |
dc.rights | © 2021 The Authors. Published by American Chemical Society. Open access under a CC BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Spatially Offset Raman Spectroscopy — How Deep? | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-04-22T11:07:28Z | |
dc.identifier.issn | 0003-2700 | |
dc.description | This is the final version. Available on open access from the American Chemical Society via the DOI in this record. | en_GB |
dc.identifier.journal | Analytical Chemistry | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-04-12 | |
exeter.funder | ::Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-04-12 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-04-22T09:44:40Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-04-29T12:59:18Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2021 The Authors. Published by American Chemical Society. Open access under a CC BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/