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Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms
As part of the efforts to contain the pandemic, researchers around the world have raced to develop testing platforms to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the Coronavirus disease 2019 (COVID-19). Within the different detection platforms studied, the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052636/ https://www.ncbi.nlm.nih.gov/pubmed/35512584 http://dx.doi.org/10.1016/j.bios.2022.114331 |
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author | Novodchuk, I. Kayaharman, M. Prassas, I. Soosaipillai, A. Karimi, R. Goldthorpe, I.A. Abdel-Rahman, E. Sanderson, J. Diamandis, E.P. Bajcsy, M. Yavuz, M. |
author_facet | Novodchuk, I. Kayaharman, M. Prassas, I. Soosaipillai, A. Karimi, R. Goldthorpe, I.A. Abdel-Rahman, E. Sanderson, J. Diamandis, E.P. Bajcsy, M. Yavuz, M. |
author_sort | Novodchuk, I. |
collection | PubMed |
description | As part of the efforts to contain the pandemic, researchers around the world have raced to develop testing platforms to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the Coronavirus disease 2019 (COVID-19). Within the different detection platforms studied, the field effect transistor (FET) is a promising device due to its high sensitivity and fast detection capabilities. In this work, a graphene-based FET which uses a boron and nitrogen co-doped graphene oxide gel (BN-GO gel) transducer functionalized with nucleoprotein antibodies, has been investigated for the detection of SARS-CoV-2 nucleocapsid (N)-protein in buffer. This biosensor was able to detect the viral protein in less than 4 min, with a limit of detection (LOD) as low as 10 ag/mL and a wide linear detection range stretching over 11 orders of magnitude from 10 ag/mL–1 μg/mL. This represents the lowest LOD and widest detection range of any COVID-19 sensor and thus can potentially enable the detection of infected individuals before they become contagious. In addition to its potential use in the COVID-19 pandemic, our device serves as a proof-of-concept of the ability of functionalized BN-GO gel FETs to be used for ultrasensitive yet robust biosensors. |
format | Online Article Text |
id | pubmed-9052636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90526362022-05-02 Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms Novodchuk, I. Kayaharman, M. Prassas, I. Soosaipillai, A. Karimi, R. Goldthorpe, I.A. Abdel-Rahman, E. Sanderson, J. Diamandis, E.P. Bajcsy, M. Yavuz, M. Biosens Bioelectron Article As part of the efforts to contain the pandemic, researchers around the world have raced to develop testing platforms to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the Coronavirus disease 2019 (COVID-19). Within the different detection platforms studied, the field effect transistor (FET) is a promising device due to its high sensitivity and fast detection capabilities. In this work, a graphene-based FET which uses a boron and nitrogen co-doped graphene oxide gel (BN-GO gel) transducer functionalized with nucleoprotein antibodies, has been investigated for the detection of SARS-CoV-2 nucleocapsid (N)-protein in buffer. This biosensor was able to detect the viral protein in less than 4 min, with a limit of detection (LOD) as low as 10 ag/mL and a wide linear detection range stretching over 11 orders of magnitude from 10 ag/mL–1 μg/mL. This represents the lowest LOD and widest detection range of any COVID-19 sensor and thus can potentially enable the detection of infected individuals before they become contagious. In addition to its potential use in the COVID-19 pandemic, our device serves as a proof-of-concept of the ability of functionalized BN-GO gel FETs to be used for ultrasensitive yet robust biosensors. Elsevier B.V. 2022-08-15 2022-04-29 /pmc/articles/PMC9052636/ /pubmed/35512584 http://dx.doi.org/10.1016/j.bios.2022.114331 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Novodchuk, I. Kayaharman, M. Prassas, I. Soosaipillai, A. Karimi, R. Goldthorpe, I.A. Abdel-Rahman, E. Sanderson, J. Diamandis, E.P. Bajcsy, M. Yavuz, M. Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms |
title | Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms |
title_full | Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms |
title_fullStr | Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms |
title_full_unstemmed | Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms |
title_short | Electronic field effect detection of SARS-CoV-2 N-protein before the onset of symptoms |
title_sort | electronic field effect detection of sars-cov-2 n-protein before the onset of symptoms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052636/ https://www.ncbi.nlm.nih.gov/pubmed/35512584 http://dx.doi.org/10.1016/j.bios.2022.114331 |
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