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Photonic crystal development yields breakthrough in Raman spectroscopy

Photonic crystal development yields breakthrough in Raman spectroscopy Purpose – To describe a new substrate for use in surface enhanced Raman spectroscopy (SERS). Design/methodology/approach – Novel SERS substrates have been produced by the nanometre‐scale patterning of gold surfaces on silicon. This forms photonic crystals which tightly control the physics of the surface enhanced Raman amplification process, producing consistent SERS signals. Findings – It has been shown that these substrates can increase significantly the sensitivity and reproducibility of SERS. Originality/value – These substrates will allow SERS to be used in critical applications requiring high sensitivity detection of chemical compounds such as security, forensics, healthcare and environmental monitoring. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensor Review Emerald Publishing

Photonic crystal development yields breakthrough in Raman spectroscopy

Sensor Review , Volume 25 (3): 2 – Sep 1, 2005

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Publisher
Emerald Publishing
Copyright
Copyright © 2005 Emerald Group Publishing Limited. All rights reserved.
ISSN
0260-2288
DOI
10.1108/02602280510606462
Publisher site
See Article on Publisher Site

Abstract

Purpose – To describe a new substrate for use in surface enhanced Raman spectroscopy (SERS). Design/methodology/approach – Novel SERS substrates have been produced by the nanometre‐scale patterning of gold surfaces on silicon. This forms photonic crystals which tightly control the physics of the surface enhanced Raman amplification process, producing consistent SERS signals. Findings – It has been shown that these substrates can increase significantly the sensitivity and reproducibility of SERS. Originality/value – These substrates will allow SERS to be used in critical applications requiring high sensitivity detection of chemical compounds such as security, forensics, healthcare and environmental monitoring.

Journal

Sensor ReviewEmerald Publishing

Published: Sep 1, 2005

Keywords: Mass spectometry; Data analysis

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