| Title | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
|---|---|
| ID_Doc | 15978 |
| Authors | Warsame, C; Valerini, D; Llavori, I; Barber, AH; Goel, S |
| Title | Modal analysis of novel coronavirus (SARS COV-2) using finite element methodology |
| Year | 2022 |
| Published | |
| Abstract | 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 vacci-nations 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. |
| https://doi.org/10.1016/j.jmbbm.2022.105406 |
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