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Identification of Novel Coronavirus (n-CoV) Using a Two-Dimensional (2-D) Photonic Crystal (PhC) Structure and Finite Element Method (FEM) Via a Violet Laser Beam
Lasers in Engineering ; 53(5-6):321-331, 2022.
Article in English | Web of Science | ID: covidwho-2168810
ABSTRACT
Covid 19, a deadly virus is spreading exponentially across the globe that leads to loss of precious life. Recent data suggests that more than 4.6 million people have been died due to this, so it is requiring an ample precaution to stop it. Development of good vaccine along with rapid testing could reduce the mortality rate. Though recently few good vaccines have developed but adequate numbers of doses are not available for every individual due to lack of mass production. Not only are the production issues but also their prob-lems lie in transportation and distribution to huge population. In this sce-nario testing will play a vital role so that affected people could get a dose in priority basis. To meet the nitty-gritty of such problem. A violet laser beam interacted with a photonic crystal (PhC) structure having dimension of 600 x 600 nm2 to identify the novel coronavirus (n-CoV) know as SARS CoV-2. The device finds 16 squares which hold the samples of the swab collected from a patient where the signal of 412 nm (728 THz) incident to it. The principle of mechanism deals with the analysis of scattering parameters (S11 and S12) of the signals which is obtained through the finite element method (FEM). The S11 and S12 parameters deal with the transmittance and reflec-tance of the signal pertaining to the chosen structure. Further, the investiga-tion of transmittance identifies the nature of the virus;for example, the present research claims that blue and violet colours are two possible implica-tions at the output when the structure containing sample excited with a violet laser beam. The output with blue colour indicating the presence of just ordi-nary coronaviruses. On the other hand, if we receive violet colour then it is novel corona viruses (n-CoV)
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Collection: Databases of international organizations Database: Web of Science Language: English Journal: Lasers in Engineering Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Web of Science Language: English Journal: Lasers in Engineering Year: 2022 Document Type: Article