Publisher DOI: 10.1016/j.coche.2018.11.007
Title: Model-based tools for optimal experiments in bioprocess engineering
Language: English
Authors: Abt, Vinzenz 
Barz, Tilman 
Cruz, Nicolay 
Herwig, Christoph 
Kroll, Paul 
Möller, Johannes 
Pörtner, Ralf  
Schenkendorf, René 
Issue Date: Dec-2018
Source: Current Opinion in Chemical Engineering (22): 244-252 (2018-12)
Journal or Series Name: Current opinion in chemical engineering 
Abstract (english): Currently applied methods for characterization and optimization of bio-pharmaceutical processes are still strongly empirical. This often involves Design of Experiment (DoE) methods that require a large number of time-consuming experiments and can hardly fulfill the requirements of ‘Quality by Design’ (QbD). Linking mathematical models with experimental methods is seen as an efficient strategy that significantly reduces development time and costs. Furthermore, if combined with advanced Process Analytical Technology (PAT), higher automation and more efficient workflows can be established along the product lifecycle. This contribution presents the state of the art of model-based tools for experimental design and gives an outlook on future trends in the field of bio-process engineering.
URI: http://hdl.handle.net/11420/2392
ISSN: 2211-3398
Institute: Bioprozess- und Biosystemtechnik V-1 
Type: (wissenschaftlicher) Artikel
Project: IBÖ-04: mDoE-Toolbox - Software zur modellgestützten Optimierung biotechnologischer Prozesse 
IBÖM04:mDoE-Toolbox2-Neue mDoE Software-Toolbox zur modellgestützten Optimierung biotechnologischer Prozesse 
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