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A Sensitive Biosensor Based on Plasmonic-Graphene Configuration for Detection of COVID-19 Virus.
Negahdari, Roozbeh; Rafiee, Esmat; Kordrostami, Zoheir.
  • Negahdari R; Airport Blvd, Shiraz, Iran Electronic Department, Nano Optoelectronic Research Center, Shiraz University of Technology.
  • Rafiee E; Tehran, Iran Department of Electrical Engineering, Faculty of Engineering, Alzahra university.
  • Kordrostami Z; Tehran, Iran Department of Electrical Engineering, Faculty of Engineering, Alzahra university.
Plasmonics ; : 1-11, 2023 May 01.
Article in English | MEDLINE | ID: covidwho-2317621
ABSTRACT
In this paper, four individual structures based on graphene-plasmonic nano combinations are proposed for detection of corona viruses and especially COVID-19. The structures are arranged based on arrays in the shapes of half-sphere and one-dimensional photonic crystal formats. The half-sphere and plate shaped layers are made of Al, Au, SiO2 and graphene. The one-dimensional photonic crystals lead the wavelength and peak corresponding to the absorption peak to lower and higher amounts, respectively. In order to improve the functionality of the proposed structures, effects of structural parameters and chemical potentials are considered. A defect layer of GZO is positioned in the middle of one-dimensional photonic crystal layers to shift the absorption's peak wavelength to the appropriate wavelength range for diagnosing corona viruses (~300 nm to 600 nm). The last proposed structure is considered as a refractive bio-sensor for detection of corona viruses. In the final proposed structure (based on different layers of Al, Au, SiO2, GZO and graphene), corona viruses are considered as the biomolecule layer and the results are obtained. The proposed bio-sensor can be a good and functional candidate for detection of corona viruses and especially COVID-19 in photonic integrated circuits with the satisfying sensitivity of ~664.8 nm/RIU (refractive index unit).
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Plasmonics Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: Plasmonics Year: 2023 Document Type: Article