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Copyright © 2012 Charles K. Klutse et al. Charles K. Klutse et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The increasing applications of surface-enhanced Raman scattering (SERS) has led to the development of various SERS-active platforms (SERS substrates) for SERS measurement. This work reviews the current optimization techniques available for improving the performance of some of these SERS substrates. The work particularly identifies self-assembled-monolayer- (SAM-) based substrate modification for optimum SERS activity and wider applications. An overview of SERS, SAM, and studies involving SAM-modified substrates is highlighted. The focus of the paper then shifts to the use of SAMs to improve analytical applications of SERS substrates by addressing issues including long-term stability, selectivity, reproducibility, and functionalization, and so forth. The paper elaborates on the use of SAMs to achieve optimum SERS enhancement. Specific examples are based on novel multilayered SERS substrates developed in the author's laboratory where SAMs have been demonstrated as excellent dielectric spacers for improving SERS enhancement more than 20-fold relative to conventional single layer SERS substrates. Such substrate optimization can significantly improve the sensitivity of the SERS method for analyte detection.

Details

Title
Applications of Self-Assembled Monolayers in Surface-Enhanced Raman Scattering
Author
Klutse, Charles K; Mayer, Adam; Wittkamper, Julia; Cullum, Brian M
Publication year
2012
Publication date
2012
Publisher
John Wiley & Sons, Inc.
ISSN
16879503
e-ISSN
16879511
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1018397515
Copyright
Copyright © 2012 Charles K. Klutse et al. Charles K. Klutse et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.