Titlebook: Bioreaction Engineering; Modeling and Control Karl Schügerl,Karl-Heinz Bellgardt Book 2000 Springer-Verlag Berlin Heidelberg 2000 Bioreakti

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Metabolic Flux Analysis Metabolic engineering emerged then as the scientific field aiming at the directed modification of the enzymatic, regulatory, or transport activities of the cell to improve cellular properties, with the use of recombinant DNA technology [2-4].

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On-Line Simulation Techniques for Bioreactor Control Developmentr require treatment using a theoretical mathematical model (Fig.6.1b). Obviously the time-dependent changes of the relevant process variables are of major interest for these applications. Therefore the underlying model is highly dynamic in nature and typically a set of differential equations based o

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Application of Computational Fluiddynamics (CFD) to Modeling Stirred Tank Bioreactorsmber agitators such as Intermig (Fig. 7.2a), Lightnin A315 (Fig. 7.2b), Prochem Maxflow T (Fig. 7.2c), and Scaba 6SRGT (Fig. 7.2d) has been developed and improved performance of fermentation processes has been reported with such alternative designs [1-3].

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Control Strategies for High-Cell Density Cultivation of ,ritical growth rate above for which acetate formation occurs is influenced by the growth medium, temperature, and, more general, by the overall physiological status of the cells. In addition, it is important, to allow cell growth at a constant growth rate to permit the synthesis of a product (e.g.,

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https://doi.org/10.1007/b113550) reactors, in which the power input is accomplished with the expansion of compressed gas and with a liquid pump, respectively. The prerequisite for the abstraction of the reactors is the knowledge of the influence of various parameters on the process performance. Therefore, in Sect. 1.2 the interre

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https://doi.org/10.1007/b113550r require treatment using a theoretical mathematical model (Fig.6.1b). Obviously the time-dependent changes of the relevant process variables are of major interest for these applications. Therefore the underlying model is highly dynamic in nature and typically a set of differential equations based o

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