Literature DB >> 18629824

A practical kinetic model that considers endproduct inhibition in anaerobic digestion processes by including the equilibrium constant.

C Y Hoh1, R Cord-Ruwisch.   

Abstract

The classical Michaelis-Menten model is widely used as the basis for modeling of a number of biological systems. As the model does not consider the inhibitory effect of endproducts that accumulate in virtually all bioprocesses, it is often modified to prevent the overestimation of reaction rates when products have accumulated. Traditional approaches of model modification use the inclusion of irreversible, competitive, and noncompetitive inhibition factors. This article demonstrates that these inhibition factors are insufficient to predict product inhibition of reactions that are close the dynamic equilibrium. All models investigated were found to violate thermodynamic laws as they predicted positive reaction rates for reactions that were endergonic due to high endproduct concentrations. For modeling of biological processes that operate close to the dynamic equilibrium (e.g., anaerobic processes), it is critical to prevent the prediction of positive reaction rates when the reaction has already reached the dynamic equilibrium. This can be achieved by using a reversible kinetic model. However, the major drawback of the reversible kinetic model is the large number of empirical parameters it requires. These parameters are difficult to determine and prone to experimental error. For this reason, the reversible model is not practical in the modeling of biological processes.This article uses the fundamentals of steady-state kinetics and thermodynamics to establish an equation for the reversible kinetic model that is of practical use in bio-process modeling. The behavior of this equilibrium-based model is compared with Michaelis-Menten-based models that use traditional inhibition factors. The equilibrium-based model did not require any empirical inhibition factor to correctly predict when reaction rates must be zero due to the free energy change being zero. For highly exergonic reactions, the equilibrium-based model did not deviate significantly from the Michaelis-Menten model, whereas, for reactions close to equilibrium, the reaction rate was mainly controlled by the quotient of mass action ratio (concentration of all products over concentration of all substrates) over the equilibrium constant K. This quotient is a measure of the displacement of the reaction from its equilibrium. As the new equation takes into account all of the substrates and products, it was able to predict the inhibitor effect of multiple endproducts. The model described is designed to be a useful basis for a number of different model applications where reaction conditions are close to equilibrium.

Year:  1996        PMID: 18629824     DOI: 10.1002/(SICI)1097-0290(19960905)51:5<597::AID-BIT12>3.0.CO;2-F

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  12 in total

1.  Consistent microbial dynamics and functional community patterns derived from first principles.

Authors:  Hadrien Delattre; Elie Desmond-Le Quéméner; Christian Duquennoi; Ahlem Filali; Théodore Bouchez
Journal:  ISME J       Date:  2018-09-07       Impact factor: 10.302

2.  Relative importance of trophic group concentrations during anaerobic degradation of volatile fatty acids.

Authors:  R K Voolapalli; D C Stuckey
Journal:  Appl Environ Microbiol       Date:  1999-11       Impact factor: 4.792

Review 3.  Microbial maintenance: a critical review on its quantification.

Authors:  Peter van Bodegom
Journal:  Microb Ecol       Date:  2007-03-01       Impact factor: 4.552

4.  Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium.

Authors:  Jacob Cook; Samraat Pawar; Robert G Endres
Journal:  PLoS Comput Biol       Date:  2021-12-03       Impact factor: 4.475

5.  Modelling extracellular limitations for mediated versus direct interspecies electron transfer.

Authors:  Tomas Storck; Bernardino Virdis; Damien J Batstone
Journal:  ISME J       Date:  2015-11-06       Impact factor: 10.302

Review 6.  Bacteria and Methanogens in the Human Microbiome: a Review of Syntrophic Interactions.

Authors:  Kenza Djemai; Michel Drancourt; Maryam Tidjani Alou
Journal:  Microb Ecol       Date:  2021-06-24       Impact factor: 4.552

Review 7.  Cooperation in microbial communities and their biotechnological applications.

Authors:  Matteo Cavaliere; Song Feng; Orkun S Soyer; José I Jiménez
Journal:  Environ Microbiol       Date:  2017-05-29       Impact factor: 5.491

8.  Piezo-tolerant natural gas-producing microbes under accumulating pCO2.

Authors:  Ralph E F Lindeboom; Seung Gu Shin; Jan Weijma; Jules B van Lier; Caroline M Plugge
Journal:  Biotechnol Biofuels       Date:  2016-11-04       Impact factor: 6.040

9.  Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis.

Authors:  Hadrien Delattre; Jing Chen; Matthew J Wade; Orkun S Soyer
Journal:  J R Soc Interface       Date:  2020-05-06       Impact factor: 4.118

10.  Microbial diversity arising from thermodynamic constraints.

Authors:  Tobias Großkopf; Orkun S Soyer
Journal:  ISME J       Date:  2016-04-01       Impact factor: 10.302

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