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Graphene-based materials and their applications in electrolyte-gated transistors for sensing.
- Source :
-
Synthetic Metals . May2023, Vol. 295, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Graphene is a two-dimensional material with remarkable physicochemical characteristics. In particular, graphene is highly sensitive to its electronic and electrostatic environment. For these reasons, among various applications of graphene, its use as a sensitive material in field-effect transistors (FETs) is widely studied, especially for biodetection purposes. So, this review aims to introduce the reader to the state of the art of graphene-based materials for their applications in electrolyte-gated graphene field-effect transistors (EGGFETs) for biosensing applications. Among numerous ways to produce graphene-based materials for such devices, some of the most important, widely used methods are presented herein. After that, the working principle of graphene-based FETs is discussed and the various ways to tune graphene's electronic properties are presented. The fabrication methods are discussed, with an emphasis on inkjet printing which allows printing of EGGFETs from aqueous graphene oxide inks, providing that it is subsequently reduced to adjust the mobility of charge carriers and the doping state. Finally, some of the recent works concerning the use of FETs in biosensing applications are reviewed. • Various methods of graphene preparation are reviewed, in particular solution-based processes. • The electronic properties of graphene due to its structure, and the way to control these electronic properties. • How to control graphene doping and the position of the charge neutrality point. • Some applications of electrolyte-gated graphene FETs for chemical sensing. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03796779
- Volume :
- 295
- Database :
- Academic Search Index
- Journal :
- Synthetic Metals
- Publication Type :
- Academic Journal
- Accession number :
- 163549679
- Full Text :
- https://doi.org/10.1016/j.synthmet.2023.117355