Linear relations in microbial reaction systems: A general overview of their origin, form, and use

In microbial reaction systems, there are a number of linear relations among net conversion rates. These can be very useful in the analysis of experimental data. This article provides a general approach for the formation and application of the linear relations. Two type of system descriptions, one considering the biomass as a black box and the other based on metabolic pathways, are encountered. These are defined in a linear vector and matrix algebra framework. A correct a priori description can be obtained by three useful tests: the independency, consistency, and observability tests. The independency are different. The black box approach provides only conservations relations. They are derived from element, electrical charge, energy, and Gibbs energy balances. The metabolic approach provides, in addition to the conservation relations, metabolic and reaction relations. These result from component, energy, and Gibbs energy balances. Thus it is more attractive to use the metabolic description than the black box approach. A number of different types of linear relations given in the literature are reviewed. They are classified according to the different categories that result from the black box or the metabolic system description. Validation of hypotheses related to metabolic pathways can be supported by experimental validation of the linear metabolic relations. However, definite proof from biochemical evidence remains indispensable.

[1]  J. G. Kuenen,et al.  Biochemical limits to microbial growth yields: An analysis of mixed substrate utilization , 1988, Biotechnology and bioengineering.

[2]  E. Papoutsakis Equations and calculations for fermentations of butyric acid bacteria , 1984, Biotechnology and bioengineering.

[3]  E. Juni Genetics and physiology of Acinetobacter. , 1978, Annual review of microbiology.

[4]  E. Papoutsakis,et al.  Equations and calculations of product yields and preferred pathways for butanediol and mixed‐acid fermentations , 1985, Biotechnology and bioengineering.

[5]  J J Heijnen,et al.  Application of balancing methods in modeling the penicillin fermentation , 1979, Biotechnology and bioengineering.

[6]  František Madron Material–balance calculations of fermentation processes , 1979 .

[7]  On material balances for chemically reacting systems , 1975 .

[8]  C. Rha,et al.  Disintegration of dried yeast cells and its effect on protein extractability, sedimentation property, and viscosity of the cell suspension , 1979 .

[9]  J. A. Christiansen The Elucidation of Reaction Mechanisms by the Method of Intermediates in Quasi-Stationary Concentrations , 1953 .

[10]  Rutherford Aris,et al.  Independence of Chemical Reactions , 1963 .

[11]  J. Hong,et al.  Yield coefficients for cell mass and product formation. , 1989, Biotechnology and bioengineering.

[12]  J. A. Roels,et al.  Method for the statistical treatment of elemental and energy balances with application to steady‐state continuous‐culture growth of saccharomyces cerevisiae CBS 426 in the respiratory region , 1980 .

[13]  C. M. Hooijmans,et al.  The use of a metabolically structured model in the study of growth, nitrification, and denitrification by Thiosphaera pantotropha , 1990, Biotechnology and bioengineering.

[14]  Fushan Yin,et al.  Some linear characters in chemical reaction systems , 1990 .

[15]  G. Stephanopoulos,et al.  Application of macroscopic balances to the identification of gross measurement errors , 1983, Biotechnology and bioengineering.

[16]  C. A. Fewson Growth Yields and Respiratory Efficiency of Acinetobacter calcoaceticus , 1985 .

[17]  C L Cooney,et al.  Computer‐aided material balancing for prediction of fermentation parameters , 1977, Biotechnology and bioengineering.

[18]  Y. H. Lee,et al.  A criterion for selecting fermentation stoichiometry methods. , 1989, Biotechnology and bioengineering.

[19]  F. H. Verhoff,et al.  Mass and energy balance analysis of metabolic pathways applied to citric acid production by Aspergillus niger. , 1976, Biotechnology and Bioengineering.

[20]  E. Papoutsakis,et al.  Fermentation equations for propionic‐acid bacteria and production of assorted oxychemicals from various sugars , 1985, Biotechnology and bioengineering.

[21]  S. Pirt The maintenance energy of bacteria in growing cultures , 1965, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[22]  J. A. Roels,et al.  Energetics and Kinetics in Biotechnology , 1983 .

[23]  J. Roels,et al.  Energetics of Saccharomyces cerevisiae CBS 426: Comparison of anaerobic and aerobic glucose limitation , 1981 .

[24]  K. San,et al.  Analysis of a framework using material balances in metabolic pathways to elucidate cellular metabolism , 1989, Biotechnology and bioengineering.

[25]  Y. H. Lee,et al.  Application of Gibbs' Rule and a Simple Pathway Method to Microbial Stoichiometry , 1988 .

[26]  J A Roels,et al.  A quantitative description of the growth of Saccharomyces cerevisiae CBS 426 on a mixed substrate of glucose and ethanol , 1980, Biotechnology and bioengineering.

[27]  Y. H. Lee,et al.  Application of metabolic pathway stoichiometry to statistical analysis of bioreactor measurement data , 1988, Biotechnology and bioengineering.

[28]  Shuichi Aiba,et al.  Identification of metabolic model: Citrate production from glucose by Candida lipolytica , 1979 .