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



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ID: 322604.0, MPI für Dynamik komplexer technischer Systeme / Bioprocess Engineering
Stochastic Population Balance Modeling of Influenza Virus Replication in Vaccine Production Processes
Authors:Sidorenko, Y.; Schulze-Horsel, J.; Voigt, A.; Reichl, U.; Kienle, A.
Language:English
Date of Publication (YYYY-MM-DD):2008
Title of Journal:Chemical Engineering Science
Volume:63
Start Page:157
End Page:169
Review Status:Peer-review
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:A distributed population balance model of influenza A virus replication in adherent Madin-Darby canine kidney cells has been developed to reproduce and interpret flow cytometry data for virus propagation in microcarrier culture. The population of cells is differentiated into uninfected, infected and degraded cells. As an internal coordinate the number of intracellular viral components is considered. The main focus of the model is to link the time course of intracellular virus protein accumulation monitored by flow cytometry with the total yield of virus particles measured by the hemagglutination assay. The model allows simulating the extracellular virus dynamics for multiplicities of infection in the range 0.025 to 3.0. Shape of predicted histograms is in general agreement with distributions obtained by flow cytometry. Differences in time course at about 12 to 14 h and 20 h post infection indicate that additional assumptions on intracellular virus dynamics are required to fully explain experimental data. Furthermore, prerequisites for virus replication, like receptor binding sites, the number of endosomes or the demand for free amino acids and nucleotides for virus synthesis can be estimated and compared with cellular resources available. Simulation results suggest that intracellular pools of free amino acids as well as early cell death due to influenza virus-induced apoptosis can limit virus yields. It is expected that based on a better understanding of the infectivity status of cells and the spreading of viruses in population of cells in bioreactors strategies on design and optimization of vaccine production processes can be developed.
Copyright © 2007 Elsevier Ltd All rights reserved.
[accessed June 6, 2008]
External Publication Status:published
Document Type:Article
Communicated by:Udo Reichl
Affiliations:MPI für Dynamik komplexer technischer Systeme/Bioprocess Engineering
MPI für Dynamik komplexer technischer Systeme/Process Synthesis and Process Dynamics
MPI für Dynamik komplexer technischer Systeme/Physical and Chemical Process Engineering
Identifiers:LOCALID:1/08
URL:http://dx.doi.org/10.1016/j.ces.2007.09.014
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