Numerical simulation on the performance analysis of a graphene-coated optical fiber plasmonic sensor at anti-crossing

A graphene-based surface plasmon resonance sensor using D-shaped fiber in anti-crossing has been designed. Silver as a plasmon active metal is followed by graphene, which helps in preventing oxidation and shows better adsorption efficiency to biomolecules. A wavelength interrogation technique based...

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Published in:Applied optics (2004) 2017-04, Vol.56 (12), p.3510-3517
Main Authors: Nayak, Jeeban Kumar, Jha, Rajan
Format: Article
Language:English
Subjects:
Computer simulation
Germanium oxides
Graphene
Mathematical models
Sensors
Silver
Surface chemistry
Wavelengths
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Jha, Rajan
description A graphene-based surface plasmon resonance sensor using D-shaped fiber in anti-crossing has been designed. Silver as a plasmon active metal is followed by graphene, which helps in preventing oxidation and shows better adsorption efficiency to biomolecules. A wavelength interrogation technique based on the finite element method has been used to evaluate performance parameters. Design parameters such as thickness of silver, residual cladding, and GeO dopant concentration have been optimized. The wavelength sensitivity is found to be 6800  nm/RIU and resolution of 8.05×10   RIU. We believe that usage of graphene on silver may open a new window for study of online biomolecular interaction.
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source Optica Publishing Group Journals
subjects Computer simulation
Germanium oxides
Graphene
Mathematical models
Sensors
Silver
Surface chemistry
Wavelengths
title Numerical simulation on the performance analysis of a graphene-coated optical fiber plasmonic sensor at anti-crossing
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