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  Mathematical Modeling of MDCK Cell Growth by the Use of On-line Data

Möhler, L., Bock, A., Sann, H., & Reichl, U. (2003). Mathematical Modeling of MDCK Cell Growth by the Use of On-line Data. Poster presented at DECHEMA Jahrestagung der Biotechnologen, Munich, Germany.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9F4F-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0025-685A-9
Genre: Poster

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 Creators:
Möhler, L.1, Author              
Bock, A.1, Author              
Sann, H.1, Author              
Reichl, U.1, 2, Author              
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Otto-von-Guericke-Universität Magdeburg, ou_1738156              

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 Abstract: Many existing as well as potential new drugs such as monoclonal antibodies, recombinant proteins or vaccines are produced in animal cells which shows poor productivity compared to classical fermentation processes. To achieve the full potential of these production methods, not only highly developed cell culture technology and sophisticated downstream processing but also a qualitative and quantitative description of the complex mechanism underlying cell growth and product formationis required. With a process of equine influenza virus production as an example we focus on cell growth, scale-up and virus production in microcarrier cultures; mathematical modeling of cell growth and virus replication; process monitoring and control; downstream processing with respect to improvements of yields, purity and safety. Besides detailed analysis of growth and morphology of animal cells on microcarries, specific oxygen uptake rates and consumption of the most important substrates, mathematical modeling plays a cruical role in understanding metabolic processes. Here we introduce a mathematical for the growth of adherent cell lines taking into account glucose and glutamine consumption as well as ammonia and lactate production. Additionally we show the correlation between base consumption and lactate production and discuss the profiles of oxygen uptake ratess (OUR) during the cell growth. We are planning to use this model to develop feeding strategies especially for high cell-density and perfusion cultures, thereby providing optimal substrate concentrations in every process stage and reducing production of inhibitory metabolites.

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Language(s): eng - English
 Dates: 2003
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 227015
 Degree: -

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Title: DECHEMA Jahrestagung der Biotechnologen
Place of Event: Munich, Germany
Start-/End Date: 2003-04-02 - 2003-04-04

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