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

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...

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Veröffentlicht in:Chemical communications (Cambridge, England) England), 2022-02, Vol.58 (11), p.1756-1759
Hauptverfasser: Berry, Matthew E, McCabe, Samantha M, Shand, Neil C, Graham, Duncan, Faulds, Karen
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Sprache:eng
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Zusammenfassung: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. 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.
ISSN:1359-7345
1364-548X
DOI:10.1039/d1cc04455a