Depth prediction of nanotags in tissue using Surface Enhanced Spatially Offset Raman Scattering (SESORS)
Berry, Matthew E. and McCabe, Samantha M. and Shand, Neil C. and Graham, Duncan and Faulds (She/Her), Karen (2022) Depth prediction of nanotags in tissue using Surface Enhanced Spatially Offset Raman Scattering (SESORS). Chemical Communications, 58 (11). pp. 1756-1759. ISSN 1359-7345 (https://doi.org/10.1039/D1CC04455A)
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Abstract
A model for the prediction of the depth of two 'flavours' of surface enhanced Raman scattering (SERS) active nanotags embedded within porcine tissue is demonstrated using ratiometric analysis of the nanotag and tissue intensities in spatially offset Raman spectroscopy (SORS) measurements.
ORCID iDs
Berry, Matthew E. ORCID: https://orcid.org/0000-0002-9712-0919, McCabe, Samantha M. ORCID: https://orcid.org/0000-0002-4819-4268, Shand, Neil C., Graham, Duncan ORCID: https://orcid.org/0000-0002-6079-2105 and Faulds (She/Her), Karen ORCID: https://orcid.org/0000-0002-5567-7399;-
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Item type: Article ID code: 79207 Dates: DateEvent14 January 2022Published14 January 2022Published Online4 January 2022AcceptedSubjects: Science > Chemistry Department: Faculty of Science > Pure and Applied Chemistry
Technology and Innovation Centre > Bionanotechnology
Strategic Research Themes > Health and WellbeingDepositing user: Pure Administrator Date deposited: 21 Jan 2022 10:55 Last modified: 11 Nov 2024 13:20 URI: https://strathprints.strath.ac.uk/id/eprint/79207
CORE (COnnecting REpositories)