Depth prediction of nanotags in tissue using surface enhanced spatially offset Raman scattering (SESORS)-Reference-Cited by-同舟云学术

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

Published:2022 Issue:11 Volume:58 Page:1756-1759
ISSN:1359-7345
Container-title:Chemical Communications
language:en
Short-container-title:Chem. Commun.

Author:

Berry Matthew E.¹^ORCID,McCabe Samantha M.¹^ORCID,Shand Neil C.²^ORCID,Graham Duncan¹^ORCID,Faulds Karen¹^ORCID

Affiliation:

1. Centre for Molecular Nanometrology, Department of Pure and Applied Chemistry, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK

2. Defence Science and Technology Laboratory (DSTL), Porton Down, Salisbury, SP4 0JQ, UK

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.

Funder

Engineering and Physical Sciences Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CC/D1CC04455A

Reference27 articles.

1. Multiplex in vitro detection using SERS

2. Surface enhanced Raman scattering for the multiplexed detection of pathogenic microorganisms: towards point-of-use applications

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5. Electromagnetic fields around silver nanoparticles and dimers

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