Projects per year
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.
Original language | English |
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Pages (from-to) | 1756-1759 |
Number of pages | 4 |
Journal | Chemical Communications |
Volume | 58 |
Issue number | 11 |
Early online date | 14 Jan 2022 |
DOIs | |
Publication status | Published - 14 Jan 2022 |
Keywords
- depth prediction
- nanotags
- tissue
- Surface Enhanced Spatially Offset Raman Scattering (SESORS)
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Dive into the research topics of 'Depth prediction of nanotags in tissue using Surface Enhanced Spatially Offset Raman Scattering (SESORS)'. Together they form a unique fingerprint.Projects
- 1 Finished
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EPSRC Centre for Doctoral Training in Optical Medical Imaging - Training the next generation of scientific entrepreneurs in healthcare technologies (OPTIMA)
Graham, D. (Principal Investigator) & Faulds, K. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/05/14 → 31/10/23
Project: Research - Studentship
Datasets
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Data for: “Depth Prediction of Nanotags in Tissue Using Surface Enhanced Spatially Offset Raman Scattering (SESORS)”
Berry, M. (Creator) & Faulds, K. (Supervisor), University of Strathclyde, 13 Jan 2022
DOI: 10.15129/057607c4-fe19-4546-8ef1-12bf5ed574d2
Dataset