Graphene-based field-effect transistor biosensors for the rapid detection and analysis of viruses: A perspective in view of COVID-19
| dc.creator | Sengupta, Joydip | |
| dc.creator | Hussain, Chaudhery Mustansar | |
| dc.date.accessioned | 2020-12-09T20:17:58Z | |
| dc.date.available | 2020-12-09T20:17:58Z | |
| dc.date.created | 2020 | |
| dc.description.abstract | Current situation of COVID-19 demands a rapid, reliable, cost-effective, facile detection strategy to break the transmission chain and biosensor has emerged as a feasible solution for this purpose. Introduction of nanomaterials has undoubtedly improved the performance of biosensor and the addition of graphene enhanced the sensing ability to a peerless level. Amongst different graphene-based biosensing schemes, graphene field-effect transistor marked its unique presence owing to its ability of ultrasensitive and low-noise detection thereby facilitating instantaneous measurements even in the presence of small amounts of analytes. Recently, graphene field-effect transistor type biosensor is even successfully employed in rapid detection of SARS-CoV-2 and this triggers the interest of the scientific community in reviewing the current developments in graphene field-effect transistor. Subsequently, in this article, the recent progress in graphene field-effect transistor type biosensors for the detection of the virus is reviewed and challenges along with their strengths are discussed | spa |
| dc.format.extent | 26 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.doi | https://doi.org/10.1016/j.cartre.2020.100011 | spa |
| dc.identifier.issn | 2667-0569 | spa |
| dc.identifier.other | https://doi.org/10.1016/j.cartre.2020.100011 | spa |
| dc.identifier.uri | https://hdl.handle.net/20.500.12010/16426 | |
| dc.language.iso | eng | spa |
| dc.publisher | Carbon Trends | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.source | reponame:Expeditio Repositorio Institucional UJTL | spa |
| dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | spa |
| dc.subject | COVID-19 | spa |
| dc.subject | Biosensor | spa |
| dc.subject | Graphene | spa |
| dc.subject | Field-effect transistor | spa |
| dc.subject | Virus detection | spa |
| dc.subject.lemb | Síndrome respiratorio agudo grave | spa |
| dc.subject.lemb | COVID-19 | spa |
| dc.subject.lemb | SARS-CoV-2 | spa |
| dc.subject.lemb | Coronavirus | spa |
| dc.title | Graphene-based field-effect transistor biosensors for the rapid detection and analysis of viruses: A perspective in view of COVID-19 | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.type.local | Artículo | spa |
Archivos
Bloque de licencias
1 - 1 de 1
Cargando...
- Nombre:
- license.txt
- Tamaño:
- 2.87 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción:
