This work was supported by Lawrence Livermore National Labs (URP-06-019) and the NSF (DMR-0097611). J. B. T. acknowledges the partial support of NIH Grant AI065359. Lawrence Livermore National Laboratory is operated by Lawrence Livermore National Security, LLC, for the U.S. Department of Energy, National Nuclear Security Administration under Contract DE-AC52-07NA27344. Supporting Information is available online from Wiley InterScience or from the author.
SERS Aptatags: New Responsive Metallic Nanostructures for Heterogeneous Protein Detection by Surface Enhanced Raman Spectroscopy†
Article first published online: 20 AUG 2008
Copyright © 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Advanced Functional Materials
Volume 18, Issue 17, pages 2518–2525, September 10, 2008
How to Cite
Fabris, L., Dante, M., Nguyen, T.-Q., Tok, J. B.-H. and Bazan, G. C. (2008), SERS Aptatags: New Responsive Metallic Nanostructures for Heterogeneous Protein Detection by Surface Enhanced Raman Spectroscopy. Adv. Funct. Mater., 18: 2518–2525. doi: 10.1002/adfm.200800301
- Issue published online: 5 SEP 2008
- Article first published online: 20 AUG 2008
- Manuscript Revised: 23 APR 2008
- Manuscript Received: 1 MAR 2008
- NIH. Grant Number: AI065359
- metal nanoparticles;
- raman spectroscopy;
We report here “aptatags,” which consist of aptamer-modified silver nanoparticles (NPs) held together by an optical reporter. It is possible to use these materials to design a heterogeneous method for protein identification that takes advantage of the Raman signal enhancement by metallic nanostructures and the recognition capabilities of aptamers. Aptatags are formed by linking silver NPs with an organic dithiol molecule, followed by surface modification with thiolated single-stranded DNA (ssDNA) corresponding to the sequence of the aptamer probe. The sensing surface involves a silver layer containing the thiolated capturing aptamer and mercaptohexadecanoic acid to minimize nonspecific binding. The overall process provides excellent selectivity and sensitivity. Detailed characterization of the sensing surface by SERS maps and atomic force microscopy was carried out to understand how structural features lead to signal generation.