Model-based tools for optimal experiments in bioprocess engineering
| Autor: | Johannes Möller, Paul Kroll, Vinzenz Abt, Mariano Nicolas Cruz-Bournazou, Ralf Pörtner, René Schenkendorf, Christoph Herwig, Tilman Barz |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
0301 basic medicine Computer science business.industry Design of experiments Process analytical technology 01 natural sciences Industrial engineering Automation Field (computer science) Quality by Design 03 medical and health sciences 030104 developmental biology General Energy Workflow Product lifecycle Bioprocess engineering 010608 biotechnology business |
| Zdroj: | Current Opinion in Chemical Engineering. 22:244-252 |
| ISSN: | 2211-3398 |
| DOI: | 10.1016/j.coche.2018.11.007 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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