title: Scale-down simulators for metabolic analysis of large-scale bioprocesses.
abstract: Analytical approaches for a comprehensive understanding of the metabolic networks in microbial cultures are mostly based on small-scale cultures which are in a steady state or undergo dynamic changes. For drawing conclusions to industrial-scale bioprocesses, however, it is important to understand that cells in large-scale bioreactors are exposed steadily to fast changes, because of an inhomogeneous environment. Analytical approaches that aim for large-scale bioprocess understanding need to apply specific laboratory simulators. Recent developments in cell cultivation techniques and computational tools provide improved possibilities to evaluate how a process will behave in the final scale. These simulators will pave the way for screening robust strains and process conditions.
authors.affiliation: Technische Universität Berlin, Institute of Biotechnology, Department of Bioprocess Engineering, Ackerstr. 71-76, D-13355 Berlin, Germany. peter.neubauer@tu-berlin.de <peter.neubauer@tu-berlin.de>
authors.forename: Peter
authors.initials: P
authors.lastname: Neubauer
authors.forename: Stefan
authors.initials: S
authors.lastname: Junne
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome