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Updated: Oct 14, 2025

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
Published on: February 1, 2022
A Compact Sensory Platform Based pH Sensor Using Graphene Field Effect Transistor.
Arun Kumar Manoharan1, Ramasamy Jayavel2, Mahalingam Shanmugam3
1Department of Electrical, Electronics & Communication Engineering, School of Technology, Gandhi Institute of Technology and Management (GITAM), Bengaluru 561203, India.
This study presents a compact graphene field-effect transistor (GFET) sensor for precise pH detection. The developed biosensor shows high sensitivity for biomolecule identification through pH sensing.
Area of Science:
- Materials Science
- Nanotechnology
- Biosensors
Background:
- Graphene field-effect transistors (GFETs) offer unique electronic properties for sensing applications.
- Developing compact and sensitive platforms for biomolecule identification is crucial in diagnostics.
Purpose of the Study:
- To fabricate and characterize a compact GFET-based sensory platform for pH sensing.
- To evaluate the performance of the GFET device in detecting pH variations in buffer solutions.
Main Methods:
- Fabrication of a monolayer GFET device with an integrated top-gate.
- Measurement of electrical characteristics, specifically the Dirac point (V_Dirac) and transfer curves, after buffer solution desiccation.
- Analysis of V_Dirac shifts and transfer curve movements in response to varying pH levels.
Main Results:
- The GFET device successfully detected pH changes, with the V_Dirac point shifting positively as pH increased.
- A sensitivity of approximately 48.5 mV/pH was achieved, indicating a robust response to pH variations.
- Observed charge transfer from dopant molecules to the graphene surface correlated with increasing pH.
Conclusions:
- A compact GFET device with an in-built gate enables effective pH sensing.
- This platform provides a user-friendly interface for advanced biosensing applications.
- The GFET sensor demonstrates potential for sensitive and reliable biomolecule identification via pH monitoring.
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