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Self-patterning of graphene-encapsulated gold nanoparticles for surface-enhanced Raman spectroscopy

Published online by Cambridge University Press:  29 January 2018

Yuan Li ,
Kelly Burnham ,
John Dykes  and
Nitin Chopra
Yuan Li
Affiliation:
Metallurgical and Materials Engineering Department (MTE), Center for Materials for Information Technology (MINT), The University of Alabama, Tuscaloosa, AL 35487, USA
Kelly Burnham
Affiliation:
NSF-REH Fellow, Northridge High School, Tuscaloosa, AL 35406, USA
John Dykes
Affiliation:
Department of Mathematics, NSF-REU Fellow, The University of Alabama, Tuscaloosa, AL 35407, USA
Nitin Chopra*
Affiliation:
Metallurgical and Materials Engineering Department (MTE), Department of Biological Sciences, Department of Chemistry, Center for Materials for Information Technology (MINT), The University of Alabama, Tuscaloosa, AL 35487, USA
*
Address all correspondence to Dr. Nitin Chopra at nchop2@gmail.com
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Abstract

The main challenges of developing advanced surface-enhanced Raman spectroscopy (SERS) sensors lie in the poor reproducibility, low uniformity, and the lack of molecular selectivity. In this paper, we report a facile and cost-effective approach for the large-scale patterning of graphene-encapsulated Au nanoparticles on Si substrate as efficient SERS sensors with highly-improved uniformity, reproducibility, and unique selectivity. The materials production was accomplished via an industry-applicable galvanic deposition—annealing—chemical vapor deposition approach, followed by a final plasma treatment. Our study provides a facile approach to the fabrication of uniform SERS substrate and further prompts the practical progress of SERS-based chemical sensors.

Type
Research Letters
Information
MRS Communications , Volume 8 , Issue 1 , March 2018 , pp. 79 - 87
Copyright
Copyright © Materials Research Society 2018 

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