10.57647/j.jtap.2024.1805.64

High-sensitivity detection of SARS-CoV-2 using optimized carbon nanotube field-effect transistor (CNTFET) geometry: a numerical approach

  1. Department of Common Core, Faculty of Exact Sciences and Informatics, Hassiba Ben Bouali University, Chlef, Algeria
  2. Laboratory of Micro and Nanophysics-LaMiN, Department of FPST-Ecole Nationale Polytechnique d’Oran-Maurice Audin, Oran, Algeria
  3. Laboratory for Theoretical Physics and Material Physics, Department of Physics, Faculty of Exact Sciences and Informatics, Hassiba Benbouali University of Chlef, Algeria
  4. Laboratory of Chemistry and Environmental Chemistry LCEE, Department of Chemistry, Faculty of Material Sciences, University of Batna, Batna, Algeria
  5. 1Department of Common Core, Faculty of Exact Sciences and Informatics, Hassiba Ben Bouali University, Chlef, Algeria
High-sensitivity detection of SARS-CoV-2 using optimized carbon nanotube field-effect transistor (CNTFET) geometry: a numerical approach

Received: 2024-08-01

Revised: 2024-09-06

Accepted: 2024-09-12

Published 2024-10-30

How to Cite

1.
Zeggai O, Belarbi M, Bouhenna A, Khettaf S, Mouloudj H, Ouledabbes A. High-sensitivity detection of SARS-CoV-2 using optimized carbon nanotube field-effect transistor (CNTFET) geometry: a numerical approach. J Theor Appl phys. 2024 Oct. 30;18(5). Available from: https://oiccpress.com/jtap/article/view/8199

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Abstract

This study presents a comprehensive numerical analysis of carbon nanotube (CNT)-based fieldeffect
transistor (FET) sensors designed to detect SARS-CoV-2, the virus responsible for COVID-
19. While graphene-based FETs have been extensively studied, our research emphasizes the unique
advantages of CNTs, including enhanced sensitivity and seamless integration into existing technologies.
Through numerical simulations, we evaluated the influence of CNT geometry, specifically
length and diameter, on FET sensor performance. The results demonstrate that optimized CNT
geometries significantly enhance sensor sensitivity and accuracy, providing superior capabilities
for the rapid and precise detection of SARS-CoV-2. These findings underscore the potential for
developing reliable, fast, and cost-effective CNT-based FET biosensors for effective pandemic
response and broader public health applications.

Keywords

  • Carbon nanotube field-effect transistor (CNTFET),
  • SARS-CoV-2 detection,
  • High-sensitivity biosensors,
  • Numerical optimization