Abstract
A model discriminating experimental design approach for fed-batch
processes has been developed and applied to the fermentative production
Of L-valine by a genetically modified Corynebacterium glutamicum strain
possessing multiple auxotrophies as an example. Being faced with the
typical situation of uncertain model information based on preliminary
experiments, model discriminating design was successfully applied to
improve discrimination between five competing models. Within the same
modeling and experimental design framework, also the planning of an
optimized production process with respect to the total volumetric
productivity is shown. Simulation results were experimentally affirmed,
yielding an increased total volumetric productivity of 6.2 mM L-valine
per hour. However, also so far unknown metabolic mechanisms were
observed in the optimized process, underlining the importance of process
optimization during modeling to avoid problems of extreme extrapolation
of model predictions during the final process optimization. (C) 2005
Wiley Periodicals, Inc.
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