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A sensitivity analysis of the fed‐batch animal‐cell bioreactor with respect to some control parameters
Author(s) -
Lavric Vasile,
Ofiţeru Irina Dana,
Woinaroschy Alexandru
Publication year - 2005
Publication title -
biotechnology and applied biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.468
H-Index - 70
eISSN - 1470-8744
pISSN - 0885-4513
DOI - 10.1042/ba20030215
Subject(s) - bioreactor , bioprocess , biochemical engineering , cell culture , monoclonal antibody , process (computing) , substrate (aquarium) , biology , process engineering , microbiology and biotechnology , biological system , computer science , antibody , ecology , paleontology , botany , engineering , immunology , genetics , operating system
Animal cell culture is widely used in the manufacture of valuable products, and this process is nowadays seeing a rapid expansion. The growth of animal cells is a complex process, because the cells are very sensitive to environmental changes (in, for example, nutrients, pH, temperature, oxygen and osmolarity) during this phase and to the toxic compounds produced by the cell itself. Ammonia and lactate are the two major waste materials of cell culture. They can have inhibitory effects on cell growth and product (monoclonal antibodies among others) formation. In order to model the behaviour of a fed‐batch animal cell bioreactor producing monoclonal antibodies, it is necessary to use a complex kinetic model with optimal operating patterns ensuring high productivities. Good knowledge of such domains of operating parameters, together with the understanding of the response of this rather complex system to small modifications in the working conditions, are essential for on‐line control to improve the quality of product and the yield of an animal cell culture. The present study focuses on the sensitivity analysis of a fed‐batch animal cell bioreactor with respect to some candidate control parameters (substrate set‐point concentrations, feeding time‐step patterns and concentration of feeding solutions), emphasizing the influence of these on the overall performance of the system.