Issue 14, 2021, Issue in Progress

Graphene based hyperbolic metamaterial for tunable mid-infrared biosensing

Abstract

Plasmonic biosensors, operating in the mid-infrared (mid-IR) region, are well-suited for highly specific and label-free optical biosensing. The principle of operation is based on detecting the shift in resonance wavelength caused by the interaction of biomolecules with the surrounding medium. However, metallic plasmonic biosensors suffer from poor signal transduction and high optical losses in the mid-IR range, leading to low sensitivity. Here, we introduce a hyperbolic metamaterial (HMM) biosensor, that exploits the strong, tunable, mid-IR localization of graphene plasmons, for detecting nanometric biomolecules with high sensitivity. The HMM stack consists of alternating graphene/Al2O3 multilayers, on top of a gold grating structure with rounded corners, to produce plasmonic hotspots and enhance sensing performance. Sensitivity and figure-of-merit (FOM) can be systematically tuned, by varying the structural parameters of the HMM stack and the doping levels (Fermi energy) in graphene. Finite-difference time-domain (FDTD) analysis demonstrates that the proposed biosensor can achieve sensitivities as high as 4052 nm RIU−1 (refractive index unit) with a FOM of 11.44 RIU−1. We anticipate that the reported graphene/Al2O3 HMM device will find potential application as a mid-IR, highly sensitive plasmonic biosensor, for tunable and label-free detection.

Graphical abstract: Graphene based hyperbolic metamaterial for tunable mid-infrared biosensing

Article information

Article type
Paper
Submitted
18 Nov 2020
Accepted
12 Feb 2021
First published
17 Feb 2021
This article is Open Access
Creative Commons BY license

RSC Adv., 2021,11, 7938-7945

Graphene based hyperbolic metamaterial for tunable mid-infrared biosensing

S. Cynthia, R. Ahmed, S. Islam, K. Ali and M. Hossain, RSC Adv., 2021, 11, 7938 DOI: 10.1039/D0RA09781K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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