S-system approach to modeling recombinant Escherichia coli growth by hybrid differential evolution with data collocation

• Published in: Biochemical engineering journal Vol. 28; no. 1; pp. 10 - 16
• Main Authors: Ko, Chih-Lung, Wang, Feng-Sheng, Chao, Yun-Peng, Chen, Te-Wei
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.02.2006; Amsterdam Elsevier Science; New York, NY
• Subjects: Biokinetics; Biological and medical sciences; Biotechnology; Escherichia coli; Fermentation; Fundamental and applied biological sciences. Psychology; Growth kinetics; Kinetic parameters; Modeling; Parameter estimation; Parameter estimation; Biokinetics; Kinetic parameters; Fermentation; Modeling; Growth kinetics; Growth; Escherichia coli; Hybrid; Genetically modified microorganism; Bacteria; Kinetics; Kinetic parameter; Enterobacteriaceae
• ISSN: 1369-703X; 1873-295X
• DOI: 10.1016/j.bej.2005.08.032

In this study, we have established a suitable model to describe the dynamic characteristic of an aspartase-overproducing Escherichia coli strain. A traditional Monod model and power-law models are respectively applied to describe the dynamic behaviors. When the model structure was selected, the parameter values of the model should be determined by the global/local optimization method. There are two major challenges, numerical integration for differential equations and finding global parameter values. In this study, we introduce hybrid differential evolution, which is a variant of genetic algorithms, to avoid obtaining a premature solution. In addition, we apply a modified collocation method to avoid numerical integration. The Monod's model could only predict the growth characteristic of the recombinant E. coli, qualitatively. The S-system representation could suit for constructing the model structure of the microbial growth.