Projects per year
Abstract
Surface-enhanced, spatially-offset Raman spectroscopy (SESORS) combines the remarkable enhancements in sensitivity afforded by surface-enhanced Raman spectroscopy (SERS) with the non-invasive, sub-surface sampling capabilities of spatially-offset Raman spectroscopy (SORS). Taken together, these techniques show great promise for in vivo Raman measurements. Herein, we present a step forward for this technique, demonstrating SESORS through tissue analogs of six known and varied thickness, with a large number of distinct spatial offsets, in a back-scattering optical geometry. This is accomplished by spin-coating SERS-active nanoparticles (NPs) on glass slides, and monitoring the relative spectral contribution from the NPs and tissue sections, respectively, as a function of both tissue thickness and spatial offset of the collection probe. The results show that SESORS outperforms SERS alone for this purpose, NP signal is attainable at tissue thicknesses in excess of 6.75 mm, and that greater tissue thicknesses require greater spatial offsets to maximize NP signal, all with an optical geometry optimized for utility. This demonstration represents a step forward toward the implementation of SESORS for non-invasive, in vivo analysis.
Original language | English |
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Number of pages | 7 |
Journal | ACS Applied Materials and Interfaces |
Early online date | 29 Jun 2017 |
DOIs | |
Publication status | E-pub ahead of print - 29 Jun 2017 |
Keywords
- SESORS
- Raman spectroscopy
- tissue analogs
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Dive into the research topics of 'Surface-enhanced spatially-offset raman spectroscopy (SESORS) in tissue analogs'. Together they form a unique fingerprint.Projects
- 1 Finished
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In Situ Nanoparticle Assemblies for Healthcare Diagnostics and Therapy
Graham, D. (Principal Investigator) & Faulds, K. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/05/14 → 31/10/18
Project: Research
Datasets
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Surface-enhanced Spatially Offset Raman Spectroscopy (SESORS) in Tissue Analogs
Asiala, S. (Creator), Shand, N. (Creator), Faulds, K. (Creator) & Graham, D. (Creator), University of Strathclyde, 5 Apr 2017
DOI: 10.15129/476eb716-6bd0-471b-8d28-045c42fb7aa2
Dataset