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From single cells to complex tissues in applications of surface-enhanced Raman scattering

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Abstract

As surface-enhanced Raman scattering (SERS) continues to grow in popularity, more work needs to be done to evaluate its compatibility with a wider scope of applications. With such a strong emphasis on SERS being used for biosensing, it is important to examine how SERS is used in bioanalytical nanoscience, and more importantly, look towards where SERS is heading. For many, the initial steps involve demonstrating in vivo sensing by SERS using cultures of live cells. To further and better demonstrate the capabilities of SERS as a technique in bioanalytical nanoscience, it is necessary to transition away from studies involving single cells or small quantities of cells. This means working with tissue, typically as an ex vivo slice or a spheroid, before moving onto in vivo animal models. Although working with tissue as opposed to single cells introduces new challenges, the types of approaches developed for single cell studies serve as the foundation for the more complex biomaterials. The aim of this tutorial review is to better facilitate the transition from single cells to complex tissues by demonstrating the similarities in the methodologies that have been used and how to overcome some of the challenges of working with tissue. Specifically, we explore how three of the most common methods of working with nanoparticles and cells have been adapted and incorporated for experiments involving different types of tissues. Overall, this review highlights a variety of methods that can be readily implemented for those wishing to perform SERS measurements with or in complex tissues.

Graphical abstract: From single cells to complex tissues in applications of surface-enhanced Raman scattering

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Article information


Submitted
25 Jun 2020
Accepted
21 Sep 2020
First published
23 Sep 2020

Analyst, 2020, Advance Article
Article type
Tutorial Review

From single cells to complex tissues in applications of surface-enhanced Raman scattering

G. Q. Wallace and J. Masson, Analyst, 2020, Advance Article , DOI: 10.1039/D0AN01274B

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