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A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review
Respiratory viruses are a serious threat to human wellbeing that can cause pandemic disease. As a result, it is critical to identify virus in a timely, sensitive, and precise manner. The present novel coronavirus-2019 (COVID-19) disease outbreak has increased these concerns. The research of developi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270057/ https://www.ncbi.nlm.nih.gov/pubmed/35817176 http://dx.doi.org/10.1016/j.chemosphere.2022.135645 |
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author | Ganesh, Pattan-Siddappa Kim, Sang-Youn |
author_facet | Ganesh, Pattan-Siddappa Kim, Sang-Youn |
author_sort | Ganesh, Pattan-Siddappa |
collection | PubMed |
description | Respiratory viruses are a serious threat to human wellbeing that can cause pandemic disease. As a result, it is critical to identify virus in a timely, sensitive, and precise manner. The present novel coronavirus-2019 (COVID-19) disease outbreak has increased these concerns. The research of developing various methods for COVID-19 virus identification is one of the most rapidly growing research areas. This review article compares and addresses recent improvements in conventional and advanced electroanalytical approaches for detecting COVID-19 virus. The popular conventional methods such as polymerase chain reaction (PCR), loop mediated isothermal amplification (LAMP), serology test, and computed tomography (CT) scan with artificial intelligence require specialized equipment, hours of processing, and specially trained staff. Many researchers, on the other hand, focused on the invention and expansion of electrochemical and/or bio sensors to detect SARS-CoV-2, demonstrating that they could show a significant role in COVID-19 disease control. We attempted to meticulously summarize recent advancements, compare conventional and electroanalytical approaches, and ultimately discuss future prospective in the field. We hope that this review will be helpful to researchers who are interested in this interdisciplinary field and desire to develop more innovative virus detection methods. |
format | Online Article Text |
id | pubmed-9270057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92700572022-07-11 A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review Ganesh, Pattan-Siddappa Kim, Sang-Youn Chemosphere Article Respiratory viruses are a serious threat to human wellbeing that can cause pandemic disease. As a result, it is critical to identify virus in a timely, sensitive, and precise manner. The present novel coronavirus-2019 (COVID-19) disease outbreak has increased these concerns. The research of developing various methods for COVID-19 virus identification is one of the most rapidly growing research areas. This review article compares and addresses recent improvements in conventional and advanced electroanalytical approaches for detecting COVID-19 virus. The popular conventional methods such as polymerase chain reaction (PCR), loop mediated isothermal amplification (LAMP), serology test, and computed tomography (CT) scan with artificial intelligence require specialized equipment, hours of processing, and specially trained staff. Many researchers, on the other hand, focused on the invention and expansion of electrochemical and/or bio sensors to detect SARS-CoV-2, demonstrating that they could show a significant role in COVID-19 disease control. We attempted to meticulously summarize recent advancements, compare conventional and electroanalytical approaches, and ultimately discuss future prospective in the field. We hope that this review will be helpful to researchers who are interested in this interdisciplinary field and desire to develop more innovative virus detection methods. Elsevier Ltd. 2022-11 2022-07-08 /pmc/articles/PMC9270057/ /pubmed/35817176 http://dx.doi.org/10.1016/j.chemosphere.2022.135645 Text en © 2022 Elsevier Ltd. 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 Ganesh, Pattan-Siddappa Kim, Sang-Youn A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review |
title | A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review |
title_full | A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review |
title_fullStr | A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review |
title_full_unstemmed | A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review |
title_short | A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review |
title_sort | comparison of conventional and advanced electroanalytical methods to detect sars-cov-2 virus: a concise review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270057/ https://www.ncbi.nlm.nih.gov/pubmed/35817176 http://dx.doi.org/10.1016/j.chemosphere.2022.135645 |
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