Citation: Wasfi, A.;Awwad, F.;
Gelovani, J.G.; Qamhieh, N.; Ayesh,
A.I. COVID-19 Detection via Silicon
Nanowire Field-Effect Transistor:
Setup and Modeling of Its Function.
Nanomaterials 2022, 12, 2638.
https://doi.org/10.3390/
nano12152638
Academic Editor: Simone Morais
Received: 2 June 2022
Accepted: 18 July 2022
Published: 31 July 2022
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nanomaterials
Article
COVID-19 Detection via Silicon Nanowire Field-Effect
Transistor: Setup and Modeling of Its Function
Asma Wasfi
1,2
, Falah Awwad
1,2,
*, Juri George Gelovani
3
, Naser Qamhieh
4
and Ahmad I. Ayesh
5
1
Department of Electrical Engineering, College of Engineering, United Arab Emirates University,
Al Ain P.O. Box 15551, United Arab Emirates; 201180954@uaeu.ac.ae
2
Zayed Center for Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
3
College of Medicine and Health Sciences, United Arab Emirates University,
Al Ain P.O. Box 15551, United Arab Emirates; jgelovani@uaeu.ac.ae
4
Department of Physics, College of Science, United Arab Emirates University,
Al Ain P.O. Box 15551, United Arab Emirates; nqamhieh@uaeu.ac.ae
5
Physics Program, Department of Mathematics, Statistics and Physics, College of Arts and Science,
Qatar University, Doha P.O. Box 2713, Qatar; ayesh@qu.edu.qa
* Correspondence: f_awwad@uaeu.ac.ae
Abstract: Biomolecular detection methods have evolved from simple chemical processes to laboratory
sensors capable of acquiring accurate measurements of various biological components. Recently,
silicon nanowire field-effect transistors (SiNW-FETs) have been drawing enormous interest due to
their potential in the biomolecular sensing field. SiNW-FETs exhibit capabilities such as providing
real-time, label-free, highly selective, and sensitive detection. It is highly critical to diagnose infectious
diseases accurately to reduce the illness and death spread rate. In this work, a novel SiNW-FET sensor
is designed using a semiempirical approach, and the electronic transport properties are studied to
detect the COVID-19 spike protein. Various electronic transport properties such as transmission
spectrum, conductance, and electronic current are investigated by a semiempirical modeling that
is combined with a nonequilibrium Green’s function. Moreover, the developed sensor selectivity is
tested by studying the electronic transport properties for other viruses including influenza, rotavirus,
and HIV. The results indicate that SiNW-FET can be utilized for accurate COVID-19 identification
with high sensitivity and selectivity.
Keywords: COVID-19; FET biosensor; semiempirical modeling
1. Introduction
For the last twenty years, various nanomaterials including nanogaps, nanotubes,
nanowires, nanoparticles, and nanoscale films [1–6] have attracted researchers’ interest due
to their potential for designing nanoscale sensors. Various nanoscale sensing methods have
been utilized in biological applications and research. Precise and rapid detection mecha-
nisms are required to monitor living systems. The major factors in designing and fabricating
the biomolecular sensors are a low cost, quick and accurate results, and high sensitivity
and selectivity. Field-effect transistors (FETs) have potential in sensor applications due to
their ability to translate the molecule’s interaction with the sensor to readable signals in
real time [7–9]. Recently, various semiconducting materials types such as nanowires [10,11]
and carbon materials [12,13] have shown promise in the fabrication of field-effect transistor-
based sensors. Carbon-based sensors have been developed for different applications such
as glucose concentration detection [14], DNA hybridization [15,16], antigen–antibody in-
teractions [10,17,18], and cancer biomarkers detection [19,20]. Despite the advantages of
carbon-based sensors such as carbon nanotube (CNT) FETs in biomolecular applications,
several limitations were identified in the fabrications processes and applications as well.
The fabrication of CNT-FETs with both metallic and semiconducting elements still requires
Nanomaterials 2022, 12, 2638. https://doi.org/10.3390/nano12152638 https://www.mdpi.com/journal/nanomaterials