Abstract

A mathematical model of an amperometric biosensor with the substrate inhibition for steady-state condition is discussed. The model is based on the system of non-stationary diffusion equation containing a non-linear term related to non-Michaelis–Menten kinetics of the enzymatic reaction. This paper presents the analytical expression of concentrations and current for all values of parameters φ2s φ2s α and β . Here the Adomian decomposition method (ADM) is used to find the analytical expressions for substrate, product concentration and current. A comparison of the analytical approximation and numerical simulation is also presented. A good agreement between theoretical predictions and numerical results is observed.

Highlights

  • Biosensors are analytical devices which tightly combine biorecognition elements and physical transducer for detection of the target compounds

  • To the best of our knowledge, until now no rigorous analytical solution [9,10] has been reported for a steadystate substrate [11] and product concentration at the biosensor at mixed enzyme kinetics in the case of substrate inhibition [12,13,14]

  • We introduce the following set of dimensionless variables

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Summary

Introduction

Biosensors are analytical devices which tightly combine biorecognition elements and physical transducer for detection of the target compounds. An amperometric biosensor is a device used for measuring concentration of some specific chemical or biochemical substance in a solution [1,2]. Biosensors use specific biochemical reactions catalyzed by enzymes immobilized on electrodes. To the best of our knowledge, until now no rigorous analytical solution [9,10] has been reported for a steadystate substrate [11] and product concentration at the biosensor at mixed enzyme kinetics in the case of substrate inhibition [12,13,14]. In this paper we have arrived at an analytical expression corresponding to the concentration of substrate and product using ADM method for all values of reaction/diffusion parameters φs.

Mathematical Formulation
Analytical Solution Using ADM
Numerical Simulation
Results and Discussion
Conclusion

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