The present invention proposes an
improved method for the DC model of a liquid-gated
graphene field-effect
transistor, which includes three steps: improving the traditional GFET model by combining electrochemical theory, introducing the direction of the
concentration parameter variable for further improvement, and finally verifying. By introducing the electric double-layer
capacitance, the present invention accurately describes the
electrode physical effect in the liquid gate, first corrects the DC model of the traditional GFET, overcomes its
disadvantage of not being applicable to LG-GFET, and combines the principle of
chemical reaction equilibrium to deduce the influence of the
analyte concentration on
graphene doping. The relationship between the
analyte concentration and the carrier mobility is fitted using the relaxation
time function, and finally a concentration-related DC model of LG-GFET is established, improving the application scope of the model. At the same time, by introducing the
analyte concentration as an independent variable, the concentration of the analyte can be directly obtained using this model while detecting the electrical
signal, improving the detection efficiency in the field of biological detection.