Thermodynamics of microbial growth and metabolism:: An analysis of the current situation

被引:148
作者
von Stockar, U [1 ]
Maskow, T
Liu, JS
Marison, IW
Patiño, R
机构
[1] Ecole Polytech Fed Lausanne, Lab Chem & Biochem Engn, CH-1015 Lausanne, Switzerland
[2] Leipzig Halle GmbH, UZF Ctr Environm Res, Dept Environm Microbiol, D-04318 Leipzig, Germany
[3] DSM Pharmaceut, R&D Steriles, Greenville, NC 27835 USA
[4] Dept Fis Aplicada, Cinvestav Unidad Merida, Merida 97310, Yucatan, Mexico
关键词
thermodynamics; microbial growth; metabolism;
D O I
10.1016/j.jbiotec.2005.08.012
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
This paper attempts to review in how far thermodynamic analysis can be used to understand and predict the performance of microorganisms with respect to growth and bioproduct synthesis. In the first part, a simple thermodynamic model of microbial Growth is developed which explains the relationship between the driving force for growth in terms of Gibbs energy dissipation and biomass yield. From the currently available literature, it appears that the Gibbs energy dissipation per C-mol of biomass grown, which represents the driving force for chemotrophic growth, may have been adapted by evolutionary processes to strike a reasonable compromise between metabolic rate and growth efficiency. Based on empirical correlations of the C-molar Gibbs energy dissipation, the wide variety of biomass yields observed in nature can be explained and roughly predicted. This type of analysis may be highly useful in environmental applications, where such wide variations occur. It is however not able to predict biomass yields in very complex systems such as mammalian cells nor is it able to predict or to assess bioproduct or recombinant protein yields. For this purpose, a much more sophisticated treatment that accounts for individual metabolic pathways separately is required. Based on glycolysis as a test example, it is shown in the last part that simple thermodynamic analysis leads to erroneous conclusions even in well-known, simple cases. Potential sources for errors have been analyzed and can be used to identify the most important needs for future research. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:517 / 533
页数:17
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