Issue 15, 2022, Issue in Progress

Gate-all-around junctionless FET based label-free dielectric/charge modulation detection of SARS-CoV-2 virus

Abstract

The recent corona outbreak has necessitated the development of a label-free, highly sensitive, fast, accurate, and cost-effective biosensor for the detection of SARS-CoV-2 virus. This study records the label-free electrical detection of the SARS-CoV-2 virus using the gate-all-around junctionless field effect transistor (GAA-JLFET) that detects the virus because of the electrical properties (dielectric constant and charge) of spike protein, envelope protein, and virus DNA, for a highly sensitive and real-time bio-sensor. GAA-JLFETs are suitable for this application because of their highest gate controllability, potential vertical stacking, current industry trend compatibility, inherent ease of fabrication, and higher sensitivity. The SARS-CoV-2 virus is first immobilized in the etched nano-cavity embedded beneath the gate electrode, which is then used to detect it. The SARS-CoV-2 virus detection has been calibrated based on the change in system electrical properties after virus immobilization. For effective virus detection, the work takes into account both the dielectric property of S protein and the charge of DNA at the same time. The sensitivity has been calculated using ΔVTH, ΔION, Δgm, and ΔSS. The simulation analysis also shows a simpler recovery mechanism in this case.

Graphical abstract: Gate-all-around junctionless FET based label-free dielectric/charge modulation detection of SARS-CoV-2 virus

Supplementary files

Article information

Article type
Paper
Submitted
23 Nov 2021
Accepted
17 Mar 2022
First published
23 Mar 2022
This article is Open Access
Creative Commons BY license

RSC Adv., 2022,12, 9202-9209

Gate-all-around junctionless FET based label-free dielectric/charge modulation detection of SARS-CoV-2 virus

K. N. Priyadarshani, S. Singh and M. K. A. Mohammed, RSC Adv., 2022, 12, 9202 DOI: 10.1039/D1RA08587E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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