发誓放弃
发表于 2025-3-25 06:39:30
,Biosensors Utilizing Non-Michaelis–Menten Kinetics,e and reaction product inhibition as well as of allostery at steady state and transient conditions. Computational modeling of the substrate inhibition at steady state shows multi-steady state concentrations of the substrate at the surface of the enzyme layer (membrane) when the diffusion module is m
性满足
发表于 2025-3-25 10:26:52
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代替
发表于 2025-3-25 11:50:53
Modeling Carbon Nanotube Based Biosensors,rs based on an enzyme-loaded carbon nanotube (CNT) layer deposited on the perforated membrane. The models are based on nonlinear reaction–diffusion equations and involve four regions: the enzyme and the CNT regions where enzymatic reactions as well as the mass transport by diffusion take place, a di
记忆
发表于 2025-3-25 17:22:03
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NATAL
发表于 2025-3-25 21:26:14
Application of Mathematical Modeling to Optimal Design of Biosensors,d for the design and optimization of biosensors. An approach for optimizing the biosensor parameters is based on the availability of mathematical model of the catalytic biosensor. A multi-objective visualization of trade-off solutions and Pareto optimal decisions is applied for the selection of the
Discrete
发表于 2025-3-26 00:54:22
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恃强凌弱的人
发表于 2025-3-26 07:40:06
Biosensors Utilizing Consecutive and Parallel Substrates Conversion,ual catalase-peroxidase bioelectrode is mathematically modeled by nonlinear reaction–diffusion equations. Finally, multi-enzyme biosensors utilizing parallel and competitive multi-substrate conversion are analysed.
parasite
发表于 2025-3-26 08:48:59
Book 2021Latest editioncal point of view. An entire new chapter in particular is dedicated to optimal design of biosensors. Two more new chapters discuss biosensors which utilize microbial cells and are based on carbon nanotubes respectively. All the other chapters have been revised and updated. .. The book contains uniqu
connoisseur
发表于 2025-3-26 12:39:06
978-3-030-65507-5Springer Nature Switzerland AG 2021
贵族
发表于 2025-3-26 19:53:50
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