Modeling of the pyruvate production with Escherichia coli: comparison of mechanistic and neural networks-based models

Bioprocess and Biosystems Engineering
Bruno ZelićDurda Vasić-Racki

Abstract

Three different models: the unstructured mechanistic black-box model, the input-output neural network-based model and the externally recurrent neural network model were used to describe the pyruvate production process from glucose and acetate using the genetically modified Escherichia coli YYC202 ldhA::Kan strain. The experimental data were used from the recently described batch and fed-batch experiments [ Zelić B, Study of the process development for Escherichia coli-based pyruvate production. PhD Thesis, University of Zagreb, Faculty of Chemical Engineering and Technology, Zagreb, Croatia, July 2003. (In English); Zelić et al. Bioproc Biosyst Eng 26:249-258 (2004); Zelić et al. Eng Life Sci 3:299-305 (2003); Zelić et al Biotechnol Bioeng 85:638-646 (2004)]. The neural networks were built out of the experimental data obtained in the fed-batch pyruvate production experiments with the constant glucose feed rate. The model validation was performed using the experimental results obtained from the batch and fed-batch pyruvate production experiments with the constant acetate feed rate. Dynamics of the substrate and product concentration changes was estimated using two neural network-based models for biomass and pyruvate. It was show...Continue Reading

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Citations

Apr 16, 2004·Bioprocess and Biosystems Engineering·B ZelićR Takors
Apr 10, 2008·Journal of Bioscience and Bioengineering·Ping XuCuiqing Ma
Jun 20, 2012·Biotechnology and Bioengineering·Markus LuchnerGerald Striedner
Dec 17, 2014·Journal of Industrial Microbiology & Biotechnology·Chandresh ThakkerGeorge N Bennett

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