CHOLife+: Multiscale experimental analysis and simulation of lifelines in bioreactors to study their impact on the cultivation performance of Chinese Hamster Ovary (CHO) cells
CHOLife+: Multiscale experimental analysis and simulation of lifelines in bioreactors to study their impact on the cultivation performance of Chinese Hamster Ovary (CHO) cells
批准号:
427899833
负责人:
Professor Dr.-Ing. Michael Schlüter
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:
中文摘要
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英文摘要
CHOLife+ aims to continue the successful collaboration between the teams at the Institutes of Multiphase Flows (IMS) and Biochemical Engineering (IBVT) funded during the first phase of SPP2170 by advancing their newly developed technologies on a high level of maturity and application. The topic of scaling up/down, a vital pillar of the current call, is still centered and show-cased by the application of Chinese Hamster Ovary (CHO) cells producing IgG-1 antibodies. Exploiting the unique access to a 12000 L bioreactor at IMS the crucial question of at-line particle tracking was successfully investigated providing first-of-its-kind lifeline data that allow a most valuable comparison between hydrodynamic simulation and wet-lab measurements. Thereupon, the fundamentally renewed concept of a single multi-compartment bioreactor (SMCB) was developed at IBVT leading to the novel model driven design of a scale-down bioreactor for mammalian cell bioprocesses.CHOLife+ advances this concept further by intensified particle tracking of Lagrangian sensor particles (LSP) and hydrodynamic modelling in the 12000L scale. Intrinsically, research activities at IMS and IBVT are intertwined by the compartment-specific mixing times τi and volumes Vi that are identified in large-scale at IMS and that are used as design guideline for the SMCB at IBVT. Resulting SMCBs will be used for wet-lab tests with CHO cells enabling data-driven modeling of cellular response. Thereupon, strain performance will be predicted in SMCB and in large scale by uni-directional model coupling with particle lifelines.
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