连续搅拌槽反应器中简单抑制系统的动力学研究:数学建模与分岔分析

IF 0.8 Q3 MULTIDISCIPLINARY SCIENCES Malaysian Journal of Fundamental and Applied Sciences Pub Date : 2023-10-19 DOI:10.11113/mjfas.v19n5.3064
Afifi Md Desa, Mohd Hafiz Mohd, Mohamad Hekarl Uzir
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引用次数: 0

摘要

简单的酶抑制系统包括竞争性抑制、非竞争性抑制和非竞争性抑制。在这项工作中,我们将这些简单的抑制系统纳入连续搅拌槽反应器(CSTR),并使用动力学系统和分岔分析的一些技术对模型进行了分析。我们的目的是研究这些系统的行为,并比较它们的整体动力学。构建相画像来模拟稳定稳态、稳定极限环、稳态与稳定极限环之间的双稳定以及两个稳态之间的双稳定等可能的行为。随着酶浓度、稀释率和比例控制常数的变化,系统的动力学发生了分岔变化。此外,我们还进行了协维二分岔分析,以检验稀释率和比例控制常数对系统行为的联合影响。我们的结果揭示了每个抑制系统的不同动力学。增加稀释率导致从低底物浓度到高底物浓度的过渡,竞争性抑制显示出最高的临界点(或分岔点),在这个点上,由于底物-抑制剂的激烈竞争,动态机制发生了变化。提高酶浓度降低底物浓度,特别是在非竞争性抑制系统中,由于较高的转化率。此外,比例控制常数根据特定的抑制系统有不同的效果。考虑到每个抑制系统的独特特性,这些发现强调了不同化学过程在控制反应器热量和优化生物过程效率方面的综合影响。总的来说,对这些简单抑制系统的动力学研究使我们能够提高对多种类型抑制剂涉及酶的化学过程的理解,并可能对其控制过程提供一些见解。
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Exploring the Dynamics of Simple Inhibition Systems in Continuous Stirred-Tank Reactor: Mathematical Modelling and Bifurcation Analysis
The simple enzyme inhibition systems consist of competitive inhibition, noncompetitive inhibition and uncompetitive inhibition. In this work, we incorporated these simple inhibition systems in the continuous stirred-tank reactor (CSTR) and analysed the models using some techniques from dynamical systems and bifurcation analysis. Our aim is to investigate the behaviours of such systems and compare their overall dynamics. The phase portrait is constructed to simulate possible behaviours such as stable steady states, stable limit cycle, bistability between the steady state and the stable limit cycle and bistability between two steady states. The systems undergo bifurcational changes in dynamics as enzyme concentration, dilution rate and proportional control constant are varied. Moreover, we conducted a codimension two bifurcation analysis to examine the joint effects of dilution rate and proportional control constant on the systems behaviours. Our results revealed distinct dynamics for each inhibition system. Increasing the dilution rate led to a transition from low to high substrate concentrations, with competitive inhibition showing the highest tipping (or bifurcation) point where dynamical regimes change due to intense substrate-inhibitor competition. Elevating enzyme concentration reduced substrate concentration, particularly in non-competitive inhibition systems due to higher conversion rates. Furthermore, the proportional control constant had varying effects depending on the specific inhibition system. These findings emphasize the on the combined influences of distinct chemical procoesses in controlling reactor heat and optimizing bioprocess efficiency, considering the unique characteristics of each inhibition system. Overall, the dynamical study on these simple inhibition systems enables us to improve our understanding on the chemical processes involving enzymes with multiple types of inhibitors and may give some insights in its controlling process.
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