Literature DB >> 12747541

Integration of physiology and fluid dynamics.

Sven Schmalzriedt1, Marc Jenne, Klaus Mauch, Matthias Reuss.   

Abstract

The purpose of strategies for the integration of fluid dynamics and physiology is the development of more reliable simulation tools to accelerate the process of scale-up. The rigorous mathematical modeling of the richly interactive relationship between the dynamic response of biosystems and the physical environment changing in time and space must rest on the link between coupled momentum, energy and mass balances and structured modeling of the biophase. With the exponential increase in massive computer capabilities hard- and software tools became available for simulation strategies based on such holistic integration approaches. The review discusses fundamental aspects of application of computational fluid dynamics (CFD) to three-dimensional two-phase turbulence flow in stirred tank bioreactors. Examples of coupling momentum and material balance equations with simple unstructured kinetic models for the behavior of the biophase are used to illustrate the application of these strategies to the selection of suitable impeller configurations. The examples reviewed in this paper include distribution of carbon and energy source in fed batch cultures as well as dissolved oxygen fields during aerobic fermentations. A more precise forecasting of the impact of the multitude of interactions must, however, rest upon a rigorous understanding of the response of the cell factory to the complex dynamic stimulation due to space- and time-dependent concentration fields. The paper also introduces some ideas for fast and very fast experimental observations of intracellular pool concentrations based on stimulus response methods. These observations finally lead to a more complex integration approach based on the coupling of CFD and structured metabolic models.

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Year:  2003        PMID: 12747541     DOI: 10.1007/3-540-36782-9_2

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  4 in total

1.  Fast "Feast/Famine" Cycles for Studying Microbial Physiology Under Dynamic Conditions: A Case Study with Saccharomyces cerevisiae.

Authors:  Camilo A Suarez-Mendez; Andre Sousa; Joseph J Heijnen; Aljoscha Wahl
Journal:  Metabolites       Date:  2014-05-15

2.  Lagrangian Trajectories to Predict the Formation of Population Heterogeneity in Large-Scale Bioreactors.

Authors:  Maike Kuschel; Flora Siebler; Ralf Takors
Journal:  Bioengineering (Basel)       Date:  2017-03-29

Review 3.  Challenges of influencing cellular morphology by morphology engineering techniques and mechanical induced stress on filamentous pellet systems-A critical review.

Authors:  Markus Böl; Kathrin Schrinner; Sebastian Tesche; Rainer Krull
Journal:  Eng Life Sci       Date:  2020-11-05       Impact factor: 2.678

Review 4.  In Silico Prediction of Large-Scale Microbial Production Performance: Constraints for Getting Proper Data-Driven Models.

Authors:  Julia Zieringer; Ralf Takors
Journal:  Comput Struct Biotechnol J       Date:  2018-07-06       Impact factor: 7.271

  4 in total

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