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MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect

The present work, theoretically examined the poliovirus sensor model composed of one-dimensional photonic crystal with defect. The transfer matrix method with the help of MATLAB software has been used to detect poliovirus present in the water sample. The main objective of the present work is to desi...

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Autores principales: Aly, Arafa H., Mohamed, B. A., Awasthi, S. K., Abdallah, Suhad Ali Osman, Amin, A. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256843/
https://www.ncbi.nlm.nih.gov/pubmed/37296292
http://dx.doi.org/10.1038/s41598-023-35595-6
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author Aly, Arafa H.
Mohamed, B. A.
Awasthi, S. K.
Abdallah, Suhad Ali Osman
Amin, A. F.
author_facet Aly, Arafa H.
Mohamed, B. A.
Awasthi, S. K.
Abdallah, Suhad Ali Osman
Amin, A. F.
author_sort Aly, Arafa H.
collection PubMed
description The present work, theoretically examined the poliovirus sensor model composed of one-dimensional photonic crystal with defect. The transfer matrix method with the help of MATLAB software has been used to detect poliovirus present in the water sample. The main objective of the present work is to design an efficient sensor by identifying the minute variation in the refractive index of water sample due to change in the poliovirus concentration present in the sample. The alternate layers of aluminum nitride and gallium nitride has been taken to realize Bragg reflector having defect layer of air at center of the Bragg reflector. The effect of change in thickness of defect layer region, period number and incident angle corresponding to transverse electric wave has been examined to optimize the structure which correspond maximum performance of the proposed poliovirus sensing structure. The maximum performance of the structure has been obtained with optimum value of defect layer thickness 1200 nm, period number 10 and incident angle 40°. Under optimum condition maximum sensitivity of 1189.65517 nm/RIU has been obtained when the structure is loaded with waters sample of poliovirus concentration C = 0.005 g/ml whereas figure of merit, quality factor, signal to noise ratio, dynamic range, limit of detection and resolution values become 2618.28446 per RIU, 3102.06475, 2.27791, 2090.99500, 1.91E−05 and 0.24656 respectively.
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spelling pubmed-102568432023-06-11 MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect Aly, Arafa H. Mohamed, B. A. Awasthi, S. K. Abdallah, Suhad Ali Osman Amin, A. F. Sci Rep Article The present work, theoretically examined the poliovirus sensor model composed of one-dimensional photonic crystal with defect. The transfer matrix method with the help of MATLAB software has been used to detect poliovirus present in the water sample. The main objective of the present work is to design an efficient sensor by identifying the minute variation in the refractive index of water sample due to change in the poliovirus concentration present in the sample. The alternate layers of aluminum nitride and gallium nitride has been taken to realize Bragg reflector having defect layer of air at center of the Bragg reflector. The effect of change in thickness of defect layer region, period number and incident angle corresponding to transverse electric wave has been examined to optimize the structure which correspond maximum performance of the proposed poliovirus sensing structure. The maximum performance of the structure has been obtained with optimum value of defect layer thickness 1200 nm, period number 10 and incident angle 40°. Under optimum condition maximum sensitivity of 1189.65517 nm/RIU has been obtained when the structure is loaded with waters sample of poliovirus concentration C = 0.005 g/ml whereas figure of merit, quality factor, signal to noise ratio, dynamic range, limit of detection and resolution values become 2618.28446 per RIU, 3102.06475, 2.27791, 2090.99500, 1.91E−05 and 0.24656 respectively. Nature Publishing Group UK 2023-06-09 /pmc/articles/PMC10256843/ /pubmed/37296292 http://dx.doi.org/10.1038/s41598-023-35595-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Aly, Arafa H.
Mohamed, B. A.
Awasthi, S. K.
Abdallah, Suhad Ali Osman
Amin, A. F.
MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
title MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
title_full MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
title_fullStr MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
title_full_unstemmed MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
title_short MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
title_sort matlab simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256843/
https://www.ncbi.nlm.nih.gov/pubmed/37296292
http://dx.doi.org/10.1038/s41598-023-35595-6
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