Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor
The development of a high-performance bio-sensor utilizing the surface plasmon resonance (SPR) phenomenon has attracted great attention recently as a promising and precise sensing technology. Here, we proposed a WS2/metal/WS2/graphene heterostructure based SPR sensor with improved performances. The...
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Language: | English |
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Elsevier
2021-04-01
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Series: | Results in Physics |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2211379721001881 |
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author | Biswajit Dey Md. Sherajul Islam Jeongwon Park |
author_facet | Biswajit Dey Md. Sherajul Islam Jeongwon Park |
author_sort | Biswajit Dey |
collection | DOAJ |
description | The development of a high-performance bio-sensor utilizing the surface plasmon resonance (SPR) phenomenon has attracted great attention recently as a promising and precise sensing technology. Here, we proposed a WS2/metal/WS2/graphene heterostructure based SPR sensor with improved performances. The finite-difference time-domain (FDTD) technique was employed to model and develop the prospective sensor. The effects of integrating different layers, the analyte thickness on the performance of the sensor, and the electric field distribution were investigated systematically. We found that the optimized structure of the developed sensor exhibits the highest sensitivity of 208 deg/RIU with a detection accuracy of 1.12 and a quality factor of 223.66 RIU−1, which is superior to existing two-dimensional material based SPR sensors. The enhancement of light-material interaction caused by the coating of a monolayer WS2 on both sides of the metal improved the sensor performance significantly. These findings demonstrate a new way of performance enhancement in the composite layer sensor, aimed at further improving the identification of specific biomolecules such as glucose, blood disease, environmental monitoring, and agricultural applications. |
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id | doaj.art-d602a0a7caa44c50b632e45028bde5f9 |
institution | Directory Open Access Journal |
issn | 2211-3797 |
language | English |
last_indexed | 2024-12-19T10:17:38Z |
publishDate | 2021-04-01 |
publisher | Elsevier |
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series | Results in Physics |
spelling | doaj.art-d602a0a7caa44c50b632e45028bde5f92022-12-21T20:26:10ZengElsevierResults in Physics2211-37972021-04-0123104021Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensorBiswajit Dey0Md. Sherajul Islam1Jeongwon Park2Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology, Khulna 9203, BangladeshDepartment of Electrical and Electronic Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh; Corresponding author.School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; Department of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 89557, USAThe development of a high-performance bio-sensor utilizing the surface plasmon resonance (SPR) phenomenon has attracted great attention recently as a promising and precise sensing technology. Here, we proposed a WS2/metal/WS2/graphene heterostructure based SPR sensor with improved performances. The finite-difference time-domain (FDTD) technique was employed to model and develop the prospective sensor. The effects of integrating different layers, the analyte thickness on the performance of the sensor, and the electric field distribution were investigated systematically. We found that the optimized structure of the developed sensor exhibits the highest sensitivity of 208 deg/RIU with a detection accuracy of 1.12 and a quality factor of 223.66 RIU−1, which is superior to existing two-dimensional material based SPR sensors. The enhancement of light-material interaction caused by the coating of a monolayer WS2 on both sides of the metal improved the sensor performance significantly. These findings demonstrate a new way of performance enhancement in the composite layer sensor, aimed at further improving the identification of specific biomolecules such as glucose, blood disease, environmental monitoring, and agricultural applications.http://www.sciencedirect.com/science/article/pii/S2211379721001881Surface plasmon resonanceWS2MetalWS2 graphene heterostructureComposite layer sensor |
spellingShingle | Biswajit Dey Md. Sherajul Islam Jeongwon Park Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor Results in Physics Surface plasmon resonance WS2 Metal WS2 graphene heterostructure Composite layer sensor |
title | Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor |
title_full | Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor |
title_fullStr | Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor |
title_full_unstemmed | Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor |
title_short | Numerical design of high-performance WS2/metal/WS2/graphene heterostructure based surface plasmon resonance refractive index sensor |
title_sort | numerical design of high performance ws2 metal ws2 graphene heterostructure based surface plasmon resonance refractive index sensor |
topic | Surface plasmon resonance WS2 Metal WS2 graphene heterostructure Composite layer sensor |
url | http://www.sciencedirect.com/science/article/pii/S2211379721001881 |
work_keys_str_mv | AT biswajitdey numericaldesignofhighperformancews2metalws2grapheneheterostructurebasedsurfaceplasmonresonancerefractiveindexsensor AT mdsherajulislam numericaldesignofhighperformancews2metalws2grapheneheterostructurebasedsurfaceplasmonresonancerefractiveindexsensor AT jeongwonpark numericaldesignofhighperformancews2metalws2grapheneheterostructurebasedsurfaceplasmonresonancerefractiveindexsensor |