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  4. Application of a multiple Escherichia coli reporter strain to study population heterogeneity in a novel two‐compartment bioreactor
 
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Application of a multiple Escherichia coli reporter strain to study population heterogeneity in a novel two‐compartment bioreactor

Publikationstyp
Conference Presentation
Date Issued
2022-08-25
Sprache
English
Author(s)
Hoang, Manh Dat  
Biochemical Engineering, TUM School of Engineering and Design, Technical University of Munich
Doan, Dieu Thi  
Biochemical Engineering, TUM School of Engineering and Design, Technical University of Munich
Kremling, Andreas  
Heins, Anna-Lena  
Biochemical Engineering, TUM School of Engineering and Design, Technical University of Munich
TORE-URI
https://hdl.handle.net/11420/44129
Journal
Chemie - Ingenieur - Technik  
Volume
94
Issue
9
Citation
ProcessNet and DECHEMA-BioTechNet Jahrestagungen / 13th ESBES Symposium 2022
Contribution to Conference
ProcessNet and DECHEMA-BioTechNet Jahrestagungen 2022
13th ESBES Symposium 2022
Publisher DOI
10.1002/cite.202255092
Dynamic environmental conditions in industrial bioprocesses can lead to formation of population heterogeneities and thuslowered productivities. Since this phenomenon is poorly understood, an integrativeapproach of experimental exploitation andtheoretical prediction might improve comprehension. Population heterogeneity in L-phenylalanine production is experimentally studied in a fed-batch process with anEscherichia coliquadruple reporter strain.Industrial bioprocess conditions are simulated in a novel two-compartment setupcoupling a stirred-tank bioreactor to acoiled flow inverter as bypass. Fluorescence of the reporter strain revealed differences in single-cell physiology for homogeneous and dynamic cultivation conditions. The experimental data is further integrated into a theoretical description of aheterogeneous population. A coarse-grained approach is established with strictmass conservation for bacterial growthduring the fed-batch process. This iscoupled with an environmental model characterizing the bioprocess dynamics tocapture the interaction between the cellpopulation and the bioreactor.
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