Issue 22, 2012

Protection and functionalisation of silver as an optical sensing platform for highly sensitive SPR based analysis

Abstract

Silver thin films are well known as the most sensitive material for surface plasmon resonance (SPR) based analysis. However, the use of silver for this purpose is limited by three main issues, namely poor adhesion to plastic substrates, chemical instability in both air and aqueous environments and hence the difficulty in functionalizing the silver coated substrate for immobilizing biomolecular ligands by conventional liquid phase methods. In this work, we have successfully addressed these problems using gas-phase coating processes. We demonstrate highly adherent sputter-deposited silver coatings on low cost polymer substrates using a sputter-deposited thin gold adhesion layer. The problems of chemical instability and functionalisation have been addressed by using the gas phase process of plasma enhanced chemical vapour deposition (PECVD) to deposit thin films with a base SiOxCyHz layer (using tetraethyl orthosilicate precursor) functionalised with carboxylic acid (from sequential deposition with acrylic acid precursor). The resultant coating serves as a protective layer against degradation of the optical properties of silver under long term storage and use in ambient conditions. The reactive carboxyl functionality is used for the covalent immobilization of biomolecules. The successful stabilisation and functionalization of silver films on plastic sensor chips is demonstrated by mouse IgG immunoassays. The expected superior performance of the silver thin films over gold thin films for SPR analysis is demonstrated.

Graphical abstract: Protection and functionalisation of silver as an optical sensing platform for highly sensitive SPR based analysis

Article information

Article type
Paper
Submitted
19 Jun 2012
Accepted
22 Sep 2012
First published
25 Sep 2012

Analyst, 2012,137, 5265-5271

Protection and functionalisation of silver as an optical sensing platform for highly sensitive SPR based analysis

G. Manickam, R. Gandhiraman, R. K. Vijayaraghavan, L. Kerr, C. Doyle, D. E. Williams and S. Daniels, Analyst, 2012, 137, 5265 DOI: 10.1039/C2AN35826C

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