Searched for: subject%3A%22Metabolic%255C%252Bmodelling%22
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Jánoska, A. (author), Buijs, Joran (author), van Gulik, W.M. (author)
In large scale fermentors the cultivated cells are exposed to dynamic changes in the nutrient concentrations due to imperfect mixing. Based on the characterization of these nutrient gradients in space and time, a rational scale down design can be obtained. This study focuses on the combined gradients of dissolved sugar and oxygen...
journal article 2023
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Jánoska, A. (author), Verheijen, Jelle J. (author), Tang, W. (author), Lee, Queenie (author), Sikkema, Baukje (author), van Gulik, W.M. (author)
In large-scale bioreactors, there is often insufficient mixing and as a consequence, cells experience uneven substrate and oxygen levels that influence product formation. In this study, the influence of dissolved oxygen (DO) gradients on the primary and secondary metabolism of a high producing industrial strain of Penicillium chrysogenum was...
journal article 2022
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Haringa, C. (author), Tang, W. (author), Wang, G. (author), Deshmukh, A.T. (author), van Winden, Wouter A. (author), Chu, Ju (author), van Gulik, W.M. (author), Heijnen, J.J. (author), Mudde, R.F. (author), Noorman, H.J. (author)
We assess the effect of substrate heterogeneity on the metabolic response of P. chrysogenum in industrial bioreactors via the coupling of a 9-pool metabolic model with Euler-Lagrange CFD simulations. In this work, we outline how this coupled hydrodynamic-metabolic modeling can be utilized in 5 steps. (1) A model response study with a fixed...
journal article 2018