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Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection
With continuous mutations of SARS-CoV-2 virus, new highly contagious and fast-spreading variants have emerged, including Delta and Omicron. The popular label-free immunosensor based on surface plasmon resonance (SPR) technique can be used for real-time monitoring of the ligand-analyte or antibody-an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947906/ https://www.ncbi.nlm.nih.gov/pubmed/36852386 http://dx.doi.org/10.1007/s11468-023-01802-3 |
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author | Guo, Yan Su, Xianglong Wu, Kaihua Yong, Ken-Tye |
author_facet | Guo, Yan Su, Xianglong Wu, Kaihua Yong, Ken-Tye |
author_sort | Guo, Yan |
collection | PubMed |
description | With continuous mutations of SARS-CoV-2 virus, new highly contagious and fast-spreading variants have emerged, including Delta and Omicron. The popular label-free immunosensor based on surface plasmon resonance (SPR) technique can be used for real-time monitoring of the ligand-analyte or antibody-antigen interactions occurring on the sensor surface. In this work, an SPR-based biosensor combined with a nanodisk array was presented to enhance the sensitivity toward virus detection. The nanodisk arrays were employed to enhance the adsorption of molecules for better detection by increasing the SPR field. Four optimal sensing configurations of silver or gold nanodisks on gold thin films with different aspect ratios were achieved through systematic optimization of all parameters to yield the best sensor performance. The resonance angle can be modulated simply by the aspect ratio of nanodisk array. The sensitivity of the optimized sensors has been improved, and the detection limit is smaller than that of bare gold-based sensor. The multi-jump resonance angle curves at tiny refractive index can clearly distinguish the difference of trace concentrations, which is very important for the accurate detection of trace substances. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11468-023-01802-3. |
format | Online Article Text |
id | pubmed-9947906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-99479062023-02-23 Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection Guo, Yan Su, Xianglong Wu, Kaihua Yong, Ken-Tye Plasmonics Article With continuous mutations of SARS-CoV-2 virus, new highly contagious and fast-spreading variants have emerged, including Delta and Omicron. The popular label-free immunosensor based on surface plasmon resonance (SPR) technique can be used for real-time monitoring of the ligand-analyte or antibody-antigen interactions occurring on the sensor surface. In this work, an SPR-based biosensor combined with a nanodisk array was presented to enhance the sensitivity toward virus detection. The nanodisk arrays were employed to enhance the adsorption of molecules for better detection by increasing the SPR field. Four optimal sensing configurations of silver or gold nanodisks on gold thin films with different aspect ratios were achieved through systematic optimization of all parameters to yield the best sensor performance. The resonance angle can be modulated simply by the aspect ratio of nanodisk array. The sensitivity of the optimized sensors has been improved, and the detection limit is smaller than that of bare gold-based sensor. The multi-jump resonance angle curves at tiny refractive index can clearly distinguish the difference of trace concentrations, which is very important for the accurate detection of trace substances. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11468-023-01802-3. Springer US 2023-02-23 2023 /pmc/articles/PMC9947906/ /pubmed/36852386 http://dx.doi.org/10.1007/s11468-023-01802-3 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Guo, Yan Su, Xianglong Wu, Kaihua Yong, Ken-Tye Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection |
title | Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection |
title_full | Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection |
title_fullStr | Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection |
title_full_unstemmed | Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection |
title_short | Numerical Analysis of Three-dimensional Nanodisk Array–based Surface Plasmon Resonance Biosensors for SARS-CoV-2 Detection |
title_sort | numerical analysis of three-dimensional nanodisk array–based surface plasmon resonance biosensors for sars-cov-2 detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947906/ https://www.ncbi.nlm.nih.gov/pubmed/36852386 http://dx.doi.org/10.1007/s11468-023-01802-3 |
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