Euler-Lagrange computational fluid dynamics for (bio)reactor scale down: An analysis of organism lifelines.

ABSTRACT: The trajectories, referred to as lifelines, of individual microorganisms in an industrial scale fermentor under substrate limiting conditions were studied using an Euler-Lagrange computational fluid dynamics approach. The metabolic response to substrate concentration variations along these lifelines provides deep insight in the dynamic environment inside a large-scale fermentor, from the point of view of the microorganisms themselves. We present a novel methodology to evaluate this metabolic response, based on transitions between metabolic "regimes" that can provide a comprehensive statistical insight in the environmental fluctuations experienced by microorganisms inside an industrial bioreactor. These statistics provide the groundwork for the design of representative scale-down simulators

SUBMITTER: Haringa C 

PROVIDER: S-EPMC5129516 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature