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Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2

COVID-19, a highly contagious viral infection caused by the occurrence of severe acute respiratory syndrome coronavirus (SARS-CoV-2), has turned out to be a viral pandemic then ravaged many countries worldwide. In the recent years, point-of-care (POC) biosensors combined with state-of-the-art biorec...

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Autores principales: Karuppaiah, Gopi, Vashist, Arti, Nair, Madhavan, Veerapandian, Murugan, Manickam, Pandiaraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941073/
https://www.ncbi.nlm.nih.gov/pubmed/36844889
http://dx.doi.org/10.1016/j.biosx.2023.100324
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author Karuppaiah, Gopi
Vashist, Arti
Nair, Madhavan
Veerapandian, Murugan
Manickam, Pandiaraj
author_facet Karuppaiah, Gopi
Vashist, Arti
Nair, Madhavan
Veerapandian, Murugan
Manickam, Pandiaraj
author_sort Karuppaiah, Gopi
collection PubMed
description COVID-19, a highly contagious viral infection caused by the occurrence of severe acute respiratory syndrome coronavirus (SARS-CoV-2), has turned out to be a viral pandemic then ravaged many countries worldwide. In the recent years, point-of-care (POC) biosensors combined with state-of-the-art bioreceptors, and transducing systems enabled the development of novel diagnostic tools for rapid and reliable detection of biomarkers associated with SARS-CoV-2. The present review thoroughly summarises and discusses various biosensing strategies developed for probing SARS-CoV-2 molecular architectures (viral genome, S Protein, M protein, E protein, N protein and non-structural proteins) and antibodies as a potential diagnostic tool for COVID-19. This review discusses the various structural components of SARS-CoV-2, their binding regions and the bioreceptors used for recognizing the structural components. The various types of clinical specimens investigated for rapid and POC detection of SARS-CoV-2 is also highlighted. The importance of nanotechnology and artificial intelligence (AI) approaches in improving the biosensor performance for real-time and reagent-free monitoring the biomarkers of SARS-CoV-2 is also summarized. This review also encompasses existing practical challenges and prospects for developing new POC biosensors for clinical monitoring of COVID-19.
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spelling pubmed-99410732023-02-21 Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2 Karuppaiah, Gopi Vashist, Arti Nair, Madhavan Veerapandian, Murugan Manickam, Pandiaraj Biosens Bioelectron X Article COVID-19, a highly contagious viral infection caused by the occurrence of severe acute respiratory syndrome coronavirus (SARS-CoV-2), has turned out to be a viral pandemic then ravaged many countries worldwide. In the recent years, point-of-care (POC) biosensors combined with state-of-the-art bioreceptors, and transducing systems enabled the development of novel diagnostic tools for rapid and reliable detection of biomarkers associated with SARS-CoV-2. The present review thoroughly summarises and discusses various biosensing strategies developed for probing SARS-CoV-2 molecular architectures (viral genome, S Protein, M protein, E protein, N protein and non-structural proteins) and antibodies as a potential diagnostic tool for COVID-19. This review discusses the various structural components of SARS-CoV-2, their binding regions and the bioreceptors used for recognizing the structural components. The various types of clinical specimens investigated for rapid and POC detection of SARS-CoV-2 is also highlighted. The importance of nanotechnology and artificial intelligence (AI) approaches in improving the biosensor performance for real-time and reagent-free monitoring the biomarkers of SARS-CoV-2 is also summarized. This review also encompasses existing practical challenges and prospects for developing new POC biosensors for clinical monitoring of COVID-19. The Authors. Published by Elsevier B.V. 2023-05 2023-02-21 /pmc/articles/PMC9941073/ /pubmed/36844889 http://dx.doi.org/10.1016/j.biosx.2023.100324 Text en © 2023 The Authors 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
Karuppaiah, Gopi
Vashist, Arti
Nair, Madhavan
Veerapandian, Murugan
Manickam, Pandiaraj
Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2
title Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2
title_full Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2
title_fullStr Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2
title_full_unstemmed Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2
title_short Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2
title_sort emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of sars-cov-2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941073/
https://www.ncbi.nlm.nih.gov/pubmed/36844889
http://dx.doi.org/10.1016/j.biosx.2023.100324
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