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Biasing of FET

Biasing of FET

Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the gate...

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Updated: May 22, 2026

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

Published on: February 1, 2022

Graphene transistor as a probe for streaming potential.

A K M Newaz¹, D A Markov, D Prasai

¹Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee 37235, United States.

|May 10, 2012

Summary

This summary is machine-generated.

Graphene field-effect transistors (GraFETs) detect liquid flow and ion concentration changes via electrical transport shifts. This study demonstrates GraFETs

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Area of Science:

Materials Science
Electrochemistry
Nanotechnology

Background:

Graphene field-effect transistors (GraFETs) are sensitive electronic devices.
Electrochemical potential variations can influence GraFET performance.
Fluid flow and ion concentration are critical parameters in electrochemical systems.

Purpose of the Study:

To investigate the impact of liquid flow on GraFET electrical transport.
To explore the relationship between ion concentration and GraFET characteristics.
To demonstrate GraFETs as sensors for fluid flow and ionic concentration.

Main Methods:

Fabrication and characterization of GraFET devices.
Controlled flow of water/sodium chloride electrolyte near GraFETs.
Measurement of electrical transport properties (charge neutrality point shifts).
Analysis of streaming potential effects on graphene.

Main Results:

Observed large, reproducible shifts in GraFET charge neutrality point.
Shifts correlated with liquid velocity and ion concentration.
Demonstrated sensitivity to flow rates as low as ~70 nL/min.
Achieved detection of ionic concentration changes as small as ~40 nM.

Conclusions:

Fluid flow-induced streaming potentials significantly alter GraFET electrical transport.
GraFETs exhibit high sensitivity to mass flow and ionic concentration.
Graphene-based devices offer promising applications in microfluidic sensing.