Depth prediction of nanotags in tissue using surface enhanced spatially offset Raman scattering (SESORS)

Matthew E Berry; Samantha M McCabe; Neil C Shand; Duncan Graham; Karen Faulds

doi:10.1039/d1cc04455a

Depth prediction of nanotags in tissue using surface enhanced spatially offset Raman scattering (SESORS)

Chem Commun (Camb). 2022 Feb 3;58(11):1756-1759. doi: 10.1039/d1cc04455a.

Authors

Matthew E Berry¹, Samantha M McCabe¹, Neil C Shand², Duncan Graham¹, Karen Faulds¹

Affiliations

¹ Centre for Molecular Nanometrology, Department of Pure and Applied Chemistry, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK. karen.faulds@strath.ac.uk.
² Defence Science and Technology Laboratory (DSTL), Porton Down, Salisbury, SP4 0JQ, UK.

PMID: 35029618
DOI: 10.1039/d1cc04455a

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. Using a handheld spatially offset Raman (SORS) instrument, SESORS signals could be detected from nanotags at depths down to 48 mm for the first time using a backscattering SORS geometry.