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Design of an effective piezoelectric microcantilever biosensor for rapid detection of COVID-19.
Kabir, Hannaneh; Merati, Mohsen; Abdekhodaie, Mohammad J.
  • Kabir H; Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
  • Merati M; School of Medicine, Tehran University of Medical Science, Tehran, Iran.
  • Abdekhodaie MJ; Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
J Med Eng Technol ; 45(6): 423-433, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1230941
ABSTRACT
Acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also called COVID-19, is one of the most contagious viruses resulting in a progressive pandemic. Since specific antiviral treatments have not been developed yet and its fatal rate is almost high, early and fast detection is critical for controlling the outbreak. In this study, a piezoelectric microcantilever biosensor has been designed for detecting COVID-19 samples directly without requiring preparation steps. The biosensor acts as a transducer and is coated with the related antibody. When the SARS-CoV-2 antigens adsorbed on the microcantilever top surface through their spike proteins, a surface stress due to the mass change would be prompted leading to the measurable tip deflection and floating voltage. To obtain a biosensor with optimum parameters, different shapes and piezoelectric materials have been assessed and it was concluded that a Poly (vinylidene fluoride) (PVDF) biosensor in a shape of a holed punched form triangle, represented the best result. Therefore, the highly sensitive microcantilever biosensor can detect COVID-19 in clinical samples with various viral loads, rapidly. Also, it is selective enough to differentiate SARS-CoV-2 from other viruses with similar symptoms.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Med Eng Technol Year: 2021 Document Type: Article Affiliation country: 03091902.2021.1921067

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Med Eng Technol Year: 2021 Document Type: Article Affiliation country: 03091902.2021.1921067