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Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology
Many new engineering and scientific innovations have been proposed to date to passivate the novel coronavirus (SARS CoV-2), with the aim of curing the related disease that is now recognised as COVID-19. Currently, vaccine development remains the most reliable solution available. Efforts to provide s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391233/ https://www.ncbi.nlm.nih.gov/pubmed/36075162 http://dx.doi.org/10.1016/j.jmbbm.2022.105406 |
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author | Warsame, Caaisha Valerini, Daniele Llavori, Iñigo Barber, Asa H. Goel, Saurav |
author_facet | Warsame, Caaisha Valerini, Daniele Llavori, Iñigo Barber, Asa H. Goel, Saurav |
author_sort | Warsame, Caaisha |
collection | PubMed |
description | Many new engineering and scientific innovations have been proposed to date to passivate the novel coronavirus (SARS CoV-2), with the aim of curing the related disease that is now recognised as COVID-19. Currently, vaccine development remains the most reliable solution available. Efforts to provide solutions as alternatives to vaccinations are growing and include established control of behaviours such as self-isolation, social distancing, employing facial masks and use of antimicrobial surfaces. The work here proposes a novel engineering method employing the concept of resonant frequencies to denature SARS CoV-2. Specifically, “modal analysis” is used to computationally analyse the Eigenvalues and Eigenvectors i.e. frequencies and mode shapes to denature COVID-19. An average virion dimension of 63 nm with spike proteins number 6, 7 and 8 were examined, which revealed a natural frequency of a single virus in the range of 88–125 MHz. The information derived about the natural frequency of the virus through this study will open newer ways to exploit medical solutions to combat future pandemics. |
format | Online Article Text |
id | pubmed-9391233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93912332022-08-22 Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology Warsame, Caaisha Valerini, Daniele Llavori, Iñigo Barber, Asa H. Goel, Saurav J Mech Behav Biomed Mater Article Many new engineering and scientific innovations have been proposed to date to passivate the novel coronavirus (SARS CoV-2), with the aim of curing the related disease that is now recognised as COVID-19. Currently, vaccine development remains the most reliable solution available. Efforts to provide solutions as alternatives to vaccinations are growing and include established control of behaviours such as self-isolation, social distancing, employing facial masks and use of antimicrobial surfaces. The work here proposes a novel engineering method employing the concept of resonant frequencies to denature SARS CoV-2. Specifically, “modal analysis” is used to computationally analyse the Eigenvalues and Eigenvectors i.e. frequencies and mode shapes to denature COVID-19. An average virion dimension of 63 nm with spike proteins number 6, 7 and 8 were examined, which revealed a natural frequency of a single virus in the range of 88–125 MHz. The information derived about the natural frequency of the virus through this study will open newer ways to exploit medical solutions to combat future pandemics. The Authors. Published by Elsevier Ltd. 2022-11 2022-08-20 /pmc/articles/PMC9391233/ /pubmed/36075162 http://dx.doi.org/10.1016/j.jmbbm.2022.105406 Text en © 2022 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 Warsame, Caaisha Valerini, Daniele Llavori, Iñigo Barber, Asa H. Goel, Saurav Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
title | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
title_full | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
title_fullStr | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
title_full_unstemmed | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
title_short | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
title_sort | modal analysis of novel coronavirus (sars cov-2) using finite element methodology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391233/ https://www.ncbi.nlm.nih.gov/pubmed/36075162 http://dx.doi.org/10.1016/j.jmbbm.2022.105406 |
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