(Cu2O-Au) – Graphene - Au layered structures as efficient near Infra - Red SERS substrates

Autor: Vadakke Matham Murukeshan, Radhika V. Nair
Přispěvatelé: School of Mechanical and Aerospace Engineering
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
ISSN: 2045-2322
DOI: 10.1038/s41598-020-60874-x
Popis: Near Infra-Red Surface Enhanced Raman Spectroscopy (NIR SERS) has gained huge attention in recent years as the conventional visible SERS suffers from overwhelming fluorescence background from the fluorophore resulting in the masking of Raman signals. In this paper, we propose a novel multi-layered SERS substrate- (Cu2O - Au) - Graphene - Au - for efficient NIR SERS applications. The proposed structure has a monolayer of Cu2O - Au core-shell particles on a Au substrate with 1 nm thick graphene spacer layer. Mie simulations are used to optimize the aspect ratios of core-shell particles to shift their plasmon resonances to NIR region using MieLab software. Further, Finite Difference Time Domain (FDTD) simulations using Lumerical software are used for the design of the multiparticle layered SERS substrate as MieLab software works only for single particle systems. Designed structure is shown to provide high field enhancement factor of the order of 108 at an excitation of 1064 nm thus ensuring the possibility of using the proposed structure as efficient NIR SERS substrate which could probably be used for various NIR sensing applications. Economic Development Board (EDB) Ministry of Education (MOE) Published version The authors acknowledge NTU, COLE-EDB and Ministry of Education, MoE Singapore (RG 192/17) for the financial support.
Databáze: OpenAIRE
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