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Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications

In this research work a perfectly circular lattice Photonic Crystal Fiber (PCF) based surface Plasmon resonance (SPR) based sensor has been proposed. The investigation process has been successfully carried out using finite element method (FEM) based commercial available software package COMSOL Multi...

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Detalles Bibliográficos
Autores principales: Khalek, Md. Abdul, Chakma, Sujan, Paul, Bikash Kumar, Ahmed, Kawsar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993009/
https://www.ncbi.nlm.nih.gov/pubmed/29892619
http://dx.doi.org/10.1016/j.dib.2018.05.026
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author Khalek, Md. Abdul
Chakma, Sujan
Paul, Bikash Kumar
Ahmed, Kawsar
author_facet Khalek, Md. Abdul
Chakma, Sujan
Paul, Bikash Kumar
Ahmed, Kawsar
author_sort Khalek, Md. Abdul
collection PubMed
description In this research work a perfectly circular lattice Photonic Crystal Fiber (PCF) based surface Plasmon resonance (SPR) based sensor has been proposed. The investigation process has been successfully carried out using finite element method (FEM) based commercial available software package COMSOL Multiphysics version 4.2. The whole investigation module covers the wider optical spectrum ranging from 0.48 µm to 1.10 µm. Using the wavelength interrogation method the proposed model exposed maximum sensitivity of 9000 nm/RIU(Refractive Index Unit) and using the amplitude interrogation method it obtained maximum sensitivity of 318 RIU(−1). Moreover the maximum sensor resolution of 1.11×10(−5) in the sensing ranges between 1.34 and 1.37. Based on the suggested sensor model may provide great impact in biological area such as bio-imaging.
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spelling pubmed-59930092018-06-11 Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications Khalek, Md. Abdul Chakma, Sujan Paul, Bikash Kumar Ahmed, Kawsar Data Brief Engineering In this research work a perfectly circular lattice Photonic Crystal Fiber (PCF) based surface Plasmon resonance (SPR) based sensor has been proposed. The investigation process has been successfully carried out using finite element method (FEM) based commercial available software package COMSOL Multiphysics version 4.2. The whole investigation module covers the wider optical spectrum ranging from 0.48 µm to 1.10 µm. Using the wavelength interrogation method the proposed model exposed maximum sensitivity of 9000 nm/RIU(Refractive Index Unit) and using the amplitude interrogation method it obtained maximum sensitivity of 318 RIU(−1). Moreover the maximum sensor resolution of 1.11×10(−5) in the sensing ranges between 1.34 and 1.37. Based on the suggested sensor model may provide great impact in biological area such as bio-imaging. Elsevier 2018-05-18 /pmc/articles/PMC5993009/ /pubmed/29892619 http://dx.doi.org/10.1016/j.dib.2018.05.026 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Khalek, Md. Abdul
Chakma, Sujan
Paul, Bikash Kumar
Ahmed, Kawsar
Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
title Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
title_full Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
title_fullStr Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
title_full_unstemmed Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
title_short Dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
title_sort dataset of surface plasmon resonance based on photonic crystal fiber for chemical sensing applications
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993009/
https://www.ncbi.nlm.nih.gov/pubmed/29892619
http://dx.doi.org/10.1016/j.dib.2018.05.026
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