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The design of a point of care FET biosensor to detect and screen COVID-19

Graphene field effect transistor (FET) biosensors have attracted huge attention in the point-of-care and accurate detection. With the recent spread of the new emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the need for rapid, and accurate detection & screening tools is ar...

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Autores principales: Alnaji, Nisreen, Wasfi, Asma, Awwad, Falah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024292/
https://www.ncbi.nlm.nih.gov/pubmed/36934198
http://dx.doi.org/10.1038/s41598-023-31679-5
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author Alnaji, Nisreen
Wasfi, Asma
Awwad, Falah
author_facet Alnaji, Nisreen
Wasfi, Asma
Awwad, Falah
author_sort Alnaji, Nisreen
collection PubMed
description Graphene field effect transistor (FET) biosensors have attracted huge attention in the point-of-care and accurate detection. With the recent spread of the new emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the need for rapid, and accurate detection & screening tools is arising. Employing these easy-to-handle sensors can offer cheap, rapid, and accurate detection. Herein, we propose the design of a reduced graphene oxide (rGO) FET biosensor for the detection of SARS-CoV-2. The main objective of this work is to detect the SARS-CoV-2 spike protein antigen on spot selectively and rapidly. The sensor consists of rGO channel, a pair of golden electrodes, and a gate underneath the channel. The channel is functionalized with COVID-19 spike protein antibodies to achieve selectivity, and with metal nanoparticles (MNPs) such as copper and silver to enhance the bio-sensing performance. The designed sensor successfully detects the SARS-CoV-2 spike protein and shows singular electrical behavior for detection. The semi-empirical modeling approach combined with none-equilibrium Green’s function were used to study the electronic transport properties of the rGO-FET biosensor before and after the addition of the target molecules. The sensor’s selectivity is also tested against other viruses. This study provides a promising guide for future practical fabrication.
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spelling pubmed-100242922023-03-20 The design of a point of care FET biosensor to detect and screen COVID-19 Alnaji, Nisreen Wasfi, Asma Awwad, Falah Sci Rep Article Graphene field effect transistor (FET) biosensors have attracted huge attention in the point-of-care and accurate detection. With the recent spread of the new emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the need for rapid, and accurate detection & screening tools is arising. Employing these easy-to-handle sensors can offer cheap, rapid, and accurate detection. Herein, we propose the design of a reduced graphene oxide (rGO) FET biosensor for the detection of SARS-CoV-2. The main objective of this work is to detect the SARS-CoV-2 spike protein antigen on spot selectively and rapidly. The sensor consists of rGO channel, a pair of golden electrodes, and a gate underneath the channel. The channel is functionalized with COVID-19 spike protein antibodies to achieve selectivity, and with metal nanoparticles (MNPs) such as copper and silver to enhance the bio-sensing performance. The designed sensor successfully detects the SARS-CoV-2 spike protein and shows singular electrical behavior for detection. The semi-empirical modeling approach combined with none-equilibrium Green’s function were used to study the electronic transport properties of the rGO-FET biosensor before and after the addition of the target molecules. The sensor’s selectivity is also tested against other viruses. This study provides a promising guide for future practical fabrication. Nature Publishing Group UK 2023-03-18 /pmc/articles/PMC10024292/ /pubmed/36934198 http://dx.doi.org/10.1038/s41598-023-31679-5 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
Alnaji, Nisreen
Wasfi, Asma
Awwad, Falah
The design of a point of care FET biosensor to detect and screen COVID-19
title The design of a point of care FET biosensor to detect and screen COVID-19
title_full The design of a point of care FET biosensor to detect and screen COVID-19
title_fullStr The design of a point of care FET biosensor to detect and screen COVID-19
title_full_unstemmed The design of a point of care FET biosensor to detect and screen COVID-19
title_short The design of a point of care FET biosensor to detect and screen COVID-19
title_sort design of a point of care fet biosensor to detect and screen covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024292/
https://www.ncbi.nlm.nih.gov/pubmed/36934198
http://dx.doi.org/10.1038/s41598-023-31679-5
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