A CCM-based modular and hybrid kinetic model to simulate the tryptophan synthesis in a fed-batch bioreactor using modified E. coli cells. (October 2021)

• Record Type: Journal Article
• Authors: MARIA, Gheorghe
• Is Part Of: Computers & chemical engineering. Volume 153(2021)
• Publication Date: 2021-10
• Subjects: Glycolysis -- Tryptophan synthesis -- Modified E. coli -- Fed-batch bioreactor -- Cell structured kinetic model -- Hybrid modular model; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2021.107450
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: to maximise tryptophan (TRP) production a genetically modified E. coli has been used. a 3-structured-modules cell model coupled with bioreactor dynamic model was developed. TRP synthesis is connected to glycolysis through the phosphoenolpyruvate node. the used kinetic data have been obtained from a fedbatch bioreactor over a 63 h batch. the validated model was used for a quick preliminary analysis of the bioprocess. Abstract: This paper presents a novel methodology to develop complex structured bi-level (hybrid) kinetic models of some important cell bioprocesses. The approached case study refers to the tryptophan (TRP) synthesis in E. coli cells. The required experimental data were collected from a fed-batch bioreactor (FBR ). The developed structured kinetic model includes several inter-connected reaction pathway ( modules ) able to simulate the kinetics of glycolysis, TRP-operon expression, ATP-recovery system, all belonging to the central carbon metabolism (CCM ). Experiments were carried out by using an E. coli strain modified to replace the PTS-system with a more efficient one to uptake the glucose (GLC) from the environment. By linking the FBR macroscopic state variables with the nano-scale variables describing the cell metabolic processes of interest, the resulted structured hybrid dynamic model presents a large number of advantages, such as: allows further in-silico (model-based) more accurate engineering developments; it can be used for bioinformatics purposes. Graphical abstract: Image, graphical abstract