Graphene-Based Chemical Field-Effect Transistors: Impact of Electric Double Layer Model and Quantum Capacitance on Na+ Detection Capabilities
) as a case study for the detection performance of the graphene biosensor, and taking into account the impact of graphene quantum capacitance. Our study addresses the sensitivity of graphene field-effect transistors within the framework of the Gouy-Chapman model, as well as the Stern model, computing device sensitivities of 3200 V/M and 5500 V/M, respectively. By incorporating the impact of graphene's quantum capacitance in the calculations, increased sensitivity up to 5620 V/M was found. The present work shines light on the rationalization of graphene-based biosensors' operation and performance.
Authors
- Ghassem Baridi
- Mario Amado (ORCID: https://orcid.org/0000-0002-3296-5064)
- Arslan Liaquat
- Francesco Rossella (ORCID: https://orcid.org/0000-0002-0601-4927)
- E. Díez (ORCID: https://orcid.org/0000-0001-7964-4148)
- El Hadj Abidi (ORCID: https://orcid.org/0000-0002-7571-3975)
- Leonardo Martini (ORCID: https://orcid.org/0000-0001-9669-1480)
- Giorgia Brancolini (ORCID: https://orcid.org/0000-0002-1083-9198)
- Vito Clericò (ORCID: https://orcid.org/0000-0001-6646-8309)
- Luca Nappi
- Luigi Rovati
- Federico Rapuzzi
- Yahya Moubarak Meziani
Institutions
- University of Modena and Reggio Emilia (IT)
- Universidad de Salamanca (ES)
- Istituto Nanoscienze (IT)
Publication Details
- Journal
- Micromachines
- Published
- 2026-03-31
- DOI
- https://doi.org/10.3390/mi17040433
- Citations
- 1
- Primary Topic
- Graphene research and applications
- Type
- article
- Field-Weighted Citation Impact
- 8.14