School of Engineering, London South Bank University, 103 Borough Road, London, SE1 0AA, UK.
SSPT-PROMAS-MATAS, ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development, S.S. 7 Appia, km 706, 72100, Brindisi, Italy.
J Mech Behav Biomed Mater. 2022 Nov;135:105406. doi: 10.1016/j.jmbbm.2022.105406. Epub 2022 Aug 20.
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.
迄今为止,已经提出了许多新的工程和科学创新来使新型冠状病毒(SARS-CoV-2)失活,目的是治疗目前被认为是 COVID-19 的相关疾病。目前,疫苗的开发仍然是最可靠的解决方案。提供疫苗替代品的努力正在增加,包括控制自我隔离、社交距离、佩戴口罩和使用抗菌表面等既定措施。这里的工作提出了一种利用共振频率使 SARS-CoV-2 变性的新型工程方法。具体来说,“模态分析”用于计算分析特征值和特征向量,即频率和模态形状,以使 COVID-19 变性。研究中检查了平均病毒尺寸为 63nm,带有 6、7 和 8 个刺突蛋白,发现单个病毒的自然频率在 88-125MHz 范围内。通过这项研究获得的有关病毒自然频率的信息将为利用医疗解决方案来对抗未来的大流行开辟新途径。