The scope of this chapter is the advancements made in the area of amperometric biosensors. The main important discussion aspect is optimizing the biosensor’s response. This paper deals with mathematical model for amperomatric Biosensor’s outer perforated membrane in two dimensional (2-D) spaces. This model is based on reaction-diffusionmechanism. Model is consists of two layers, enzyme layer and selective layer. Our aim is to increase the accuracy of the biosensor response simulated by using 2-Dmodel. To solve numerically, finite volumemethod is to be used. The biosensor response and the current density are investigated by changing themodel parameter. We are using theMichaelis–Menten kinetics of an enzymatic reaction, which are nonlinear in nature. A novel approach ofmathematicalmodel is very useful in the detail study of substrate conversion. Mathematical modeling is nothing but a virtual experiments which is cost efficient throughwhich immense kind of scientific analysis and prediction is possible. Relative influence of model parameters is dictated by a non-dimensional number called Damkohler number, which stated as ‘the rate of enzymatic reaction to the rate of diffusion’. Our main focus is to analyse current density aftereffect of Damkholer number. Prior to our knowledge the current density of amperometric biosensors varies proportional in accordance with the concentration gradient of the reaction product at the electrode surface. And the current density of amperometric biosensors is proportional to the concentration gradient of the reaction product at the electrode surface
