ArticleScientific reports2023
The design of a point of care FET biosensor to detect and screen COVID-19.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Practical Applications of 2D Material FET Biosensors: Functionalization Strategies and Detection Performance.Biosensors · 2026Review
- Evolving Landscape of Emerging Virus Diagnosis: Challenges and Innovations.Molecular biotechnology · 2026Review
- A Portable Extended-Gate FET Integrated Sensing System with Low-Noise Current Readout for On-Site Detection ofMicromachines · 2026Article
- Review
- Review
- Modeling Carbon-Based Nanomaterials (CNMs) and Derived Composites and Devices.Sensors (Basel, Switzerland) · 2024Review
- FEM simulation of SARS-CoV-2 sensing in single-layer graphene-based bionanosensors.Journal of molecular modeling · 2024Article
- Bionanosensor utilizing single-layer graphene for the detection of iridovirus.Journal of molecular modeling · 2024Article
- Machine Learning for COVID-19 Determination Using Surface-Enhanced Raman Spectroscopy.Biomedicines · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graphene field effect transistor (FET) biosensors have attracted huge attention in the point-of-care and accurate detection. With the recent spread of the new emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the need for rapid, and accurate detection & screening tools is arising. Employing these easy-to-handle sensors can offer cheap, rapid, and accurate detection. Herein, we propose the design of a reduced graphene oxide (rGO) FET biosensor for the detection of SARS-CoV-2. The main objective of this work is to detect the SARS-CoV-2 spike protein antigen on spot selectively and rapidly. The sensor consists of rGO channel, a pair of golden electrodes, and a gate underneath the channel. The channel is functionalized with COVID-19 spike protein antibodies to achieve selectivity, and with metal nanoparticles (MNPs) such as copper and silver to enhance the bio-sensing performance. The designed sensor successfully detects the SARS-CoV-2 spike protein and shows singular electrical behavior for detection. The semi-empirical modeling approach combined with none-equilibrium Green's function were used to study the electronic transport properties of the rGO-FET biosensor before and after the addition of the target molecules. The sensor's selectivity is also tested against other viruses. This study provides a promising guide for future practical fabrication.
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