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Graphene-based biosensors for detecting coronavirus: a brief review
Filimon Hadish Abrha1,2, Tadele Hunde Wondimu2,3, Mebrahtu Hagos Kahsay4,5
1Department of Chemistry, College of Natural and Computational Sciences, Aksum University, Aksum 1010, Ethiopia.
This review explores graphene-based biosensors for rapid, cost-effective detection of SARS-CoV-2. These advanced sensors offer high sensitivity and selectivity for diagnosing the virus, enabling point-of-care applications.
Area of Science:
- Biomedical Engineering
- Materials Science
- Nanotechnology
Background:
- The global COVID-19 pandemic, caused by SARS-CoV-2, necessitates rapid and affordable diagnostic tools.
- Biosensors offer a promising avenue for detecting biomolecules, with graphene exhibiting unique properties for enhanced sensitivity and selectivity.
Purpose of the Study:
- To review graphene-based biosensor technologies for SARS-CoV-2 detection.
- To discuss surface modification, immobilization strategies, sensitivity, and limit of detection (LOD) for these biosensors.
- To highlight the potential of point-of-care (POC) SARS-CoV-2 detection using portable devices.
Main Methods:
- Review of literature on graphene-based electrochemical biosensors.
- Review of literature on graphene-based field-effect transistor (FET) biosensors.
- Review of literature on graphene-based surface plasmon biosensors.
Main Results:
- Graphene's physical, optical, and electrochemical properties are suitable for developing ultrasensitive and selective SARS-CoV-2 biosensors.
- Details on surface modification, immobilization, sensitivity, and LOD for various graphene-based biosensor types were analyzed.
- The review covers electrochemical, FET, and surface plasmon resonance (SPR) biosensor configurations.
Conclusions:
- Graphene-based biosensors show significant potential for accurate and rapid SARS-CoV-2 detection.
- Advancements in sensor technology are paving the way for portable, point-of-care diagnostic solutions.
- Further research into surface functionalization and device integration is crucial for clinical translation.
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