Nonlinear Analytics for Electrochemical Biosensor Design Using Enzyme Aggregates and Delayed Mass Action

Sensors (Basel). 2022 Jan 27;22(3):980. doi: 10.3390/s22030980.

Abstract

The paper is devoted to the extension of Brown's model of enzyme kinetics to the case with distributed delays. Firstly, we construct a multi-substrate multi-inhibitor model using discrete and distributed delays. Furthermore, we consider simplified models including one substrate and one inhibitor, for which an experimental study has been performed. The algorithm of parameter identifications was developed which was tested on the experimental data of solution conductivity. Both the model and Kohlrausch's law parameters are obtained as a result of the optimization procedure. Comparison of plots constructed with the help of the estimated parameters has shown that in such case the model with distributed delays is more chemically adequate in comparison with the discrete one. The methods of generalization of the results to the multi-substrate multi-inhibitor cases are discussed.

Keywords: Brown’s model; Michaelis–Menten model; electrochemical biosensor; enzyme kinetics; inhibitor; mass action law; parameter identification; substrate; time delays.

MeSH terms

  • Algorithms*
  • Biosensing Techniques*
  • Kinetics