Reversible Inhibitor Biosensor Systems in Dynamic Mode

V. Rangelova
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引用次数: 1

Abstract

The biosensor amperometric transducers can work in the case of three basic types of reversible inhibitor enzyme systems – with competitive inhibition, with non-competitive inhibition and mixed inhibition. Typically they work in static mode. Now they are investigated in dynamic mode. The kinetic in those type biosensors is generally discussed in terms of a simple extension to the Michaelis-Menten reaction scheme. The investigated biosensors are amperometric product sensitive. The parameters for simulations are chosen from some real experiments with biosensors. The models are described in non-stationary diffusion conditions. Solving system of non-linear partial differential equations is received in three dimensional size and the concentration profiles in active membrane of substrate S(x,t), inhibitor I(x,t) and product P(x,t) are received. The systems of non-linear differential partial equations have been solved numerically in MATLAB medium. The influence of starting concentration of substrate, inhibitor and kinetic parameters reaction rate and reaction constants of biosensors over output current has been investigated.
动态模式可逆抑制剂生物传感器系统
生物传感器安培传感器可以在三种基本类型的可逆抑制剂酶系统中工作-竞争性抑制,非竞争性抑制和混合抑制。它们通常在静态模式下工作。现在以动态模式对它们进行研究。这些类型的生物传感器的动力学通常是根据Michaelis-Menten反应方案的简单扩展来讨论的。所研究的生物传感器具有安培产物敏感性。模拟参数选取自生物传感器的实际实验。模型是在非平稳扩散条件下描述的。在三维尺度上得到非线性偏微分方程组的解,得到底物S(x,t)、抑制剂I(x,t)和生成物P(x,t)在活性膜中的浓度分布。在MATLAB介质中对非线性微分偏方程系统进行了数值求解。考察了底物、抑制剂起始浓度、动力学参数、反应速率和反应常数对输出电流的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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