Modeling of culture cells for pharmaceutical industry applications

The paper presents the results of mathematical modeling using bond graph methodology applied to cells growing process in pharmaceutical industry. Largely used at industrial scale, the mammalian cell culture represents an important sector with intensive dynamic that requires continuous optimization due to evolution and transformations of medical applications. The research is focused on monoclonal antibodies (mAbs), proteins that are usually produced from mammalian cell cultures and used in biochemistry, biology and medicine. A particular model of mammalian cell culture, generic for this class of bioprocesses, was used. Usually the operation of these processes is mostly based on empirical knowledge and repeated experimental procedures, continuous adjusted using the operators experience. This paper proposes a comprehensible nonlinear dynamic modeling as a tool for this type of bioprocesses characterization.