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Vortrag

Implementation of analytical methods during upstream processing for an influenza A virus production process

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86303

Genzel,  Y.
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86258

Bock,  A.
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86475

Schwarzer,  J.
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86276

Dietzsch,  C.
Dresden University of Technology,;
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Lehrstuhl für Bioverfahrenstechnik, Dresden;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86448

Reichl,  U.
Otto-von-Guericke-Universität Magdeburg;
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Zitation

Genzel, Y., Bock, A., Schwarzer, J., Dietzsch, C., & Reichl, U. (2007). Implementation of analytical methods during upstream processing for an influenza A virus production process. Talk presented at Vaccine Production: Analytical Methods, Characterisation, Scale-up and Manufacturing. Cologne, Germany. 2007-12-04 - 2007-12-05.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-96ED-4
Zusammenfassung
When looking at upstream processing for influenza A virus production thorough analytics can help to identify adequate process conditions. Typically different cell lines, media , virus subtypes and bioreactors are compared. How the use of comprehensive data sets comprising on-line data, cell numbers, virus titers and extracellular metabolites (carbon & gln metabolism, amino acids) can be used for process optimization will be discussed