文献类型：期刊文献

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

作者：Haringa, Cees[1];Tang, Wenjun[2];Deshmukh, Amit T.[3];Xia, Jianye[2];Reuss, Matthias[4];Heijnen, Joseph J.[5];Mudde, Robert F.[1];Noorman, Henk J.[3,6]

机构：[1]Delft Univ Technol, Dept Chem Engn, Transport Phenomena Sect, Delft, Netherlands;[2]ECUST, State key Lab Bioreactor Engn, Shanghai, Peoples R China;[3]DSM Biotechnol Ctr, Delft, Netherlands;[4]Univ Stuttgart, SRCSB, Stuttgart, Germany;[5]Delft Univ Technol, Dept Biotechnol, Cell Syst Engn, Delft, Netherlands;[6]Delft Univ Technol, Dept Biotechnol, Bio Separat Technol, van der Maasweg 9, NL-2629 HZ Delft, Netherlands

年份：2016

卷号：16

期号：7

起止页码：652

外文期刊名：ENGINEERING IN LIFE SCIENCES

收录：;EI(收录号：20163802814091);WOS:【SCI-EXPANDED(收录号:WOS:000386156400008)】；

基金：We want to thank our colleagues at ECUST Shanghai, DSM, and DSM Sinochem Pharmaceuticals and the DSM Biotechnology Center for our fruitful collaboration. Thanks to Dr. Walter van Gulik and Prof. Ju Chu for hosting discussions and exchanges between the different project partners. This work has been conducted within a multiparty research project, between DSM Sinochem Pharmaceuticals, TU Delft, East China University of Science and Technology and Guojia, subsidized by NWO and MoST (NWO-MoST Joint program 2013DFG32630). All sponsors are gratefully acknowledged.

语种：英文

外文关键词：CFD; Euler-Lagrange; Fermentation; Industrial scale; Scale down

摘要：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, mimicking substrate variations experimentally. To focus on the methodology we use an industrial fermentation of Penicillium chrysogenum in a simplified representation, dealing with only glucose gradients, single-phase hydrodynamics, and assuming no limitation in oxygen supply, but reasonably capturing the relevant timescales. Nevertheless, the methodology provides useful insight in the relation between flow and component fluctuation timescales that are expected to hold in physically more thorough simulations. Microorganisms experience substrate fluctuations at timescales of seconds, in the order of magnitude of the global circulation time. Such rapid fluctuations should be replicated in truly industrially representative scale-down simulators.