期刊
CHEMICAL ENGINEERING SCIENCE
卷 76, 期 -, 页码 129-139出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2012.04.004
关键词
Scale-up; Optimization; Simulation; Mathematical modeling; Chromatography; Downstream processing
A new concept for chromatography process development based on high-through put data and mechanistic modeling will be presented in this paper. The concept is established in close cooperation between experimentation, modeling and model-based experimental design and allows for robustness analyses and upscale predictions. It will be demonstrated based on a case study: the optimization of a multicomponent separation (lysozyme, ribonuclease A and cytochrome c on SP Sepharose FF (TM)), subject to pH conditions and optimal settings for the shape of the elution gradient. Peak resolution and a precise prediction of retention times were chosen as performance variables in the case study to demonstrate the flexibility of the concept. It was shown that the concept of model-integrated process development is simple to perform from miniaturized scale on. The data, derived from model-based optimally designed experiments, provided sufficient information for process development, the model was calibrated and predictions for optimal separation setups as well as for the upscale showed a high precision. Consequently, the accumulation of data from high-throughput screenings can be used profitably for model-based process optimization and upscale predictions. (c) 2012 Elsevier Ltd. All rights reserved.
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