2021
DOI: 10.1021/acsnano.1c01188
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Two-Dimensional-Material-Based Field-Effect Transistor Biosensor for Detecting COVID-19 Virus (SARS-CoV-2)

Abstract: The emergence of rapidly expanding infectious diseases such as coronavirus (COVID-19) demands effective biosensors that can promptly detect and recognize the pathogens. Field-effect transistors based on semiconducting two-dimensional (2D) materials (2D-FETs) have been identified as potential candidates for rapid and label-free sensing applications. This is because any perturbation of such atomically thin 2D channels can significantly impact their electronic transport properties. Here, we report the use of FET … Show more

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Cited by 164 publications
(138 citation statements)
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References 63 publications
(98 reference statements)
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“…The new knowledge gen- erated in this active research field has also helped in the validation of advanced fundamental concepts in physical sciences for virus research. For instance, the functional and structural understanding of the spike proteins of SARS CoV-2 and its RNA has led to the development of highly selective and sensitive biosensing technologies to detect the virus [3] , [4] , [5] , [6] . These sen- sors are based on a variety of optical and electronic transduction principles which, in the past, have served as diagnostic platforms for detecting various diseases, with features such as portability, disposability and ease of operation [7] .…”
Section: Introductionmentioning
confidence: 99%
“…The new knowledge gen- erated in this active research field has also helped in the validation of advanced fundamental concepts in physical sciences for virus research. For instance, the functional and structural understanding of the spike proteins of SARS CoV-2 and its RNA has led to the development of highly selective and sensitive biosensing technologies to detect the virus [3] , [4] , [5] , [6] . These sen- sors are based on a variety of optical and electronic transduction principles which, in the past, have served as diagnostic platforms for detecting various diseases, with features such as portability, disposability and ease of operation [7] .…”
Section: Introductionmentioning
confidence: 99%
“…As seen in the table, the current research targets nanomaterials as the transducer material since they demonstrate better signal amplification( Mittal et al, 2017 ). Specifically, the nanomaterials used as transducers were WSe 2 ( Fathi-Hafshejani et al, 2021 ), and graphene-based materials (reduced graphene oxide decorated with Au nanoparticles ( Li et al, 2021 ) and graphene ( Seo et al, 2020 )). Interestingly, all the FET biosensors give a very fast detection time, lower than 4 min.…”
Section: Resultsmentioning
confidence: 99%
“…No Biosensors Approx. sensitivity Response time Limit of detection 1 Dual metal extended gate TFET sensor for detecting SARS-CoV-2 (k = 2,1, N bio = 1 × 10 12 C/cm 2 , V GS = 0.6 V) [ 17 ] 4 × 10 2 2 Direct SARS-CoV-2 Nucleic Acid Detection by Y-Shaped DNA Dual-Probe Transistor Assay, Journal of the American Chemical Society (1000 µL −1 ) [ 31 ] 450 0.7 min 0.03 copy/μL (5.01 × 10 −20 M) 3 Two-Dimensional-Material-Based Field-Effect Transistor Biosensor for Detecting COVID-19 Virus (SARS-CoV-2) [ 32 ] > 1 > 120 min 25 fg/μL 4 Graphene Field-Effect Transistor Sensing of Influenza Virus and SARS-CoV-2, ACS Omega [ 33 ] < 0.5 50 ms 1 fg/mL 5 Rapid Detection of SARS-CoV-2 Antigens Using High-Purity Semiconducting Single-Walled Carbon Nanotube-Based Field-Effect Transistors [ 34 ] 2 min 0.55 fg/mL for SAg 6 Dual metal gate SiGe pocket Vertical TFET for detecting SARS-CoV-2 (k = 12, N bio = 2 × 10 12 C/cm 2 ,V GS = 1.5 V) [ This work] 2 × 10 6 12psec ~ 89 µV …”
Section: Resultsmentioning
confidence: 99%
“…Sensitivities of the proposed TFET-based biosensor are analyzed for both the detection methods. Several FET-based biosensors have been reported in the literature for sensing SARS-CoV-2 [31][32][33][34]. However, the proposed biosensor in our work is based on the Tunnel FET which works on the principle of quantum mechanical tunneling and it is well known for its steeper subthreshold swing characteristics providing faster switching.…”
Section: Introductionmentioning
confidence: 99%