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• W2131493868 abstract "Abstract Growing and culturing stem cells in scalable quantities is of significant interest for both research and therapy. In this paper, a computational population balance model is developed and validated for the description of specified inter/intra-cellular related stem cell properties of interest ( e.g. cell number, mass, size, age). The model describes the effects of extra-cellular variables; (A) bioreactor batch mode initial concentrations (substrate (1.5–5 g/l), dissolved oxygen (hypoxic (5%), normoxic (21%), and hyperoxic (35%)), (B) inoculum (3.75 × 10 4 –5.0 × 10 5 cells/ml), and (C) fed-batch mode conditions (media feed rate (10–100 ml/h) and air inlet flow rate 0.5–5 l/min). The highest cell concentration achieved within the analysed simulation variable ranges is found to be approximately 1.9 × 10 6 cells/ml. Importantly, the results imply the existence of an optimum (maximum) cell concentration within the extra-cellular variable space, and identifying such optimality is non-trivial and would require a computational optimisation approach for this stem cell bioreactor process." @default.
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• W2131493868 date "2015-09-01" @default.
• W2131493868 modified "2023-09-27" @default.
• W2131493868 title "Population balance modelling of stem cell culture in 3D suspension bioreactors" @default.
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• W2131493868 doi "https://doi.org/10.1016/j.cherd.2015.07.014" @default.
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