A transformed time-dependent Michaelis–Menten enzymatic reaction model and its asymptotic stability

2013 ◽  
Vol 52 (1) ◽  
pp. 222-230 ◽  
Author(s):  
Kristina Mallory ◽  
Robert A. Van Gorder
2014 ◽  
Vol 52 (10) ◽  
pp. 2494-2506 ◽  
Author(s):  
Ronald Li ◽  
Robert A. Van Gorder ◽  
Kristina Mallory ◽  
Kuppalappalle Vajravelu

2021 ◽  
pp. 26-26
Author(s):  
Ling Lin ◽  
Yun Qiao

Fractal modifications of Fick?s laws are discussed by taking into account the electrode?s porous structure, and a fractal derivative model for diffusion-reaction process in a thin film of an amperometric enzymatic reaction is established. Particular attention is paid to giving an intuitive grasp for its fractal variational principle and its solution procedure. Extremely fast or extremely slow diffusion process can be achieved by suitable control of the electrode?s surface morphology, a sponge-like surface leads to an extremely fast diffusion, while a lotus-leaf-like uneven surface predicts an extremely slow process. This paper sheds a bright light on an optimal design of an electrode?s surface morphology.


2010 ◽  
Vol 389 (17) ◽  
pp. 3476-3483 ◽  
Author(s):  
Orlando Díaz-Hernández ◽  
Ricardo Páez-Hernández ◽  
Moisés Santillán

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1030 ◽  
Author(s):  
J. Chimal-Eguia ◽  
R. Paez-Hernandez ◽  
Delfino Ladino-Luna ◽  
Juan Velázquez-Arcos

In this paper, the methodology of the so-called Linear Irreversible Thermodynamics (LIT) is applied to analyze the properties of an energetic-converting biological process using simple model for an enzymatic reaction that couples one exothermic and one endothermic reaction in the same fashion as Diaz-Hernandez et al. (Physica A, 2010, 389, 3476–3483). We extend the former analysis to consider three different operating regimes; namely, Maximum Power Output (MPO), Maximum Ecological Function (MEF) and Maximum Efficient Power Function (MEPF), respectively. Based on the later, it is possible to generalize the obtained results. Additionally, results show analogies in the optimal performance between the different optimization criteria where all thermodynamic features are determined by three parameters (the chemical potential gap Δ = μ 1 − μ 4 R T , the degree of coupling q and the efficiency η ). This depends on the election that leads to more or less efficient energy exchange.


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