Home News About Us Contact Contributors Disclaimer Privacy Policy Help FAQ

Home
Search
Quick Search
Advanced
Fulltext
Browse
Collections
Persons
My eDoc
Session History
Login
Name:
Password:
Documentation
Help
Support Wiki
Direct access to
document ID:


          Institute: MPI für Dynamik komplexer technischer Systeme     Collection: Bioprocess Engineering     Display Documents



  history
ID: 227015.0, MPI für Dynamik komplexer technischer Systeme / Bioprocess Engineering
Mathematical Modeling of MDCK Cell Growth by the Use of On-line Data
Authors:Möhler, L.; Bock, A.; Sann, H.; Reichl, U.
Language:English
Name of Conference/Meeting:DECHEMA Jahrestagung der Biotechnologen
Place of Conference/Meeting:Munich, Germany
(Start) Date of Event 
 (YYYY-MM-DD):
2003-04-02
End Date of Conference/Meeting 
 (YYYY-MM-DD):
2003-04-04
Audience:Experts Only
Abstract / Description: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.
Document Type:Poster
Communicated by:Udo Reichl
Affiliations:MPI für Dynamik komplexer technischer Systeme/Bioprocess Engineering
The scope and number of records on eDoc is subject to the collection policies defined by each institute - see "info" button in the collection browse view.