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Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes

A hybrid structure composed of periodic monolayer graphene nanoribbons and a dielectric multilayer structure was designed to generate a Fano resonance (FR). The strong interaction between the surface plasmon resonance of graphene and the dielectric waveguide mode results in the FR. The finite elemen...

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Detalles Bibliográficos
Autores principales: Dai, Xiaoyu, Ruan, Banxian, Xiang, Yuanjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533928/
https://www.ncbi.nlm.nih.gov/pubmed/34677356
http://dx.doi.org/10.3390/bios11100400
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author Dai, Xiaoyu
Ruan, Banxian
Xiang, Yuanjiang
author_facet Dai, Xiaoyu
Ruan, Banxian
Xiang, Yuanjiang
author_sort Dai, Xiaoyu
collection PubMed
description A hybrid structure composed of periodic monolayer graphene nanoribbons and a dielectric multilayer structure was designed to generate a Fano resonance (FR). The strong interaction between the surface plasmon resonance of graphene and the dielectric waveguide mode results in the FR. The finite element method is utilized to investigate the behaviors of the FR, and it matches well with the theoretical calculations using rigorous coupled wave theory. The results demonstrate that the profile of the FR can be passively tuned by the period of the graphene nanoribbons and actively tuned by the Fermi level of the graphene. The decoupled nature of the FR gives it potential applications as a self-calibrated refractive index biosensor, and the sensitivity can reach as high as 4.615 μm/RIU. Thus, this work provides a new idea for an excellent self-referencing refractive index biosensor.
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spelling pubmed-85339282021-10-23 Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes Dai, Xiaoyu Ruan, Banxian Xiang, Yuanjiang Biosensors (Basel) Communication A hybrid structure composed of periodic monolayer graphene nanoribbons and a dielectric multilayer structure was designed to generate a Fano resonance (FR). The strong interaction between the surface plasmon resonance of graphene and the dielectric waveguide mode results in the FR. The finite element method is utilized to investigate the behaviors of the FR, and it matches well with the theoretical calculations using rigorous coupled wave theory. The results demonstrate that the profile of the FR can be passively tuned by the period of the graphene nanoribbons and actively tuned by the Fermi level of the graphene. The decoupled nature of the FR gives it potential applications as a self-calibrated refractive index biosensor, and the sensitivity can reach as high as 4.615 μm/RIU. Thus, this work provides a new idea for an excellent self-referencing refractive index biosensor. MDPI 2021-10-17 /pmc/articles/PMC8533928/ /pubmed/34677356 http://dx.doi.org/10.3390/bios11100400 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Dai, Xiaoyu
Ruan, Banxian
Xiang, Yuanjiang
Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes
title Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes
title_full Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes
title_fullStr Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes
title_full_unstemmed Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes
title_short Self-Referenced Refractive Index Biosensing with Graphene Fano Resonance Modes
title_sort self-referenced refractive index biosensing with graphene fano resonance modes
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533928/
https://www.ncbi.nlm.nih.gov/pubmed/34677356
http://dx.doi.org/10.3390/bios11100400
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AT xiangyuanjiang selfreferencedrefractiveindexbiosensingwithgraphenefanoresonancemodes