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New Mathematical Analysis for Nonlinear Simultaneous Differential Equation in Micro-Disk Biosensor Using Hyperbolic Function Method

机译:双曲函数法对微磁盘生物传感器非线性同时微分方程的新数学分析

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摘要

In this study, a mathematical model of immobilized enzyme system, which follows the Michaelis-Menten kinetics for micro-disk biosensor is discussed. It is based on substrate and hydrogen peroxide profile with enzyme reaction within the biosensor under steady state condition. Accordingly, simple and compact analytical expression for substrate as well as hydrogen peroxide concentrations and electrode current for micro-disk biosensor are obtained. In addition, it acquired as a function of reaction diffusion parameter and saturated parameter using hyperbolic function method. Therefore, this hyperbolic function analysis of the proposed model is an efficient tool to predict the Michaelis-Menten constant. Furthermore, to confirm the validity and accuracy of the proposed method, the results are compared with those obtained by using well-established Homotopy analysis method and Modified Adomian decomposition method. The numerical results obtained are provided by the highly reputed program pdex2 and pdex4 in MATLAB. Tabular compilations of concentrations and current are also explored for typical values of the governing parameters.
机译:在本研究中,我们讨论了一个遵循米氏动力学的固定化酶系统的数学模型。它基于底物和过氧化氢分布,在稳态条件下,生物传感器内发生酶反应。据此,得到了用于微盘生物传感器的底物、过氧化氢浓度和电极电流的简单而紧凑的解析表达式。此外,利用双曲函数法得到了它与反应扩散参数和饱和参数的函数关系。因此,该模型的双曲函数分析是预测米氏常数的有效工具。此外,为了验证该方法的有效性和准确性,将其结果与已建立的同伦分析方法和改进的Adomian分解方法进行了比较。得到的数值结果由著名的MATLAB程序pdex2和pdex4提供。还探索了浓度和电流的表格汇编,以获得控制参数的典型值。

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