Cees Haringa
Delft University of Technology
31 Papers
4 Citations
Cees Haringa is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Biology & Fermentation. The author has an hindex of 13, co-authored 18 publications. Previous affiliations of Cees Haringa include DSM.
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Papers
Computational fluid dynamics simulation of an industrial P. chrysogenum fermentation with a coupled 9-pool metabolic model : Towards rational scale-down and design optimization
Cees Haringa,Cees Haringa,Wenjun Tang,Guan Wang,Amit T. Deshmukh,Wouter A. van Winden,Ju Chu,Walter M. van Gulik,Joseph J. Heijnen,Robert F. Mudde,Henk J. Noorman,Henk J. Noorman +11 more
TL;DR: 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 is assessed.
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Euler-Lagrange analysis towards representative down-scaling of a 22 m3 aerobic S. cerevisiae fermentation
TL;DR: This work applies Euler-Lagrange CFD methodology to a validated CFD simulation of a 22m3 aerated fermentation of S. cerevisiae, and devise possible scale-down strategies based on this CFD data, both with fluctuating feed profiles and multiple compartments.
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Developing a Computational Framework To Advance Bioprocess Scale-Up.
TL;DR: This work aims to advance the development of a computational framework to accelerate bioprocess scale-up by highlighting challenges associated with both establishing predictive metabolic models and CFD coupling and providing possible solutions.
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Application of EulerLagrange CFD for quantitative evaluating the effect of shear force on Carthamus tinctorius L. cell in a stirred tank bioreactor
Yu Liu,Ze-Jian Wang,Ze-Jian Wang,Jianye Xia,Cees Haringa,Ya-ping Liu,Ju Chu,Yingping Zhuang,Siliang Zhang +8 more
TL;DR: SSF can be used to determine the maximum operating range of hydrodynamic stress, and improve the design and optimization of the of C. tinctorius L. cell with computational fluid dynamic (CFD) technology and online capacitance viable cell detection.
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A 9-pool metabolic structured kinetic model describing days to seconds dynamics of growth and product formation by Penicillium chrysogenum.
Wenjun Tang,Amit T. Deshmukh,Cees Haringa,Guan Wang,Walter M. van Gulik,Wouter A. van Winden,Matthias Reuss,Joseph J. Heijnen,Jianye Xia,Ju Chu,Henk J. Noorman +10 more
TL;DR: This proposed model provides deeper insight into the in vivo kinetics and can be straightforwardly integrated into a computational fluid dynamic framework for simulating complete fermentation performance and cell population dynamics in large scale and small scale fermentors.
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