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Haringa, C. (author), Mudde, R.F. (author), Noorman, H.J. (author)
Euler–Lagrange computational fluid dynamics simulations offer great potential for the integration of transport dynamics and metabolic dynamics in fermentation systems. Since the seminal work of Lapin et al. [1,2], progress has been made, mainly in the analysis of CFD data and translation to laboratory setup designs. Different large-scale...
journal article 2018
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Haringa, C. (author), Deshmukh, Amit T. (author), Mudde, R.F. (author), Noorman, H.J. (author)
With reaction timescales equal to or shorter than the circulation time, the ideal mixing assumption typically does not hold for large scale bioreactors. As a consequence large scale gradients in extra-cellular conditions such as the substrate concentration exist, which may significantly impact the metabolism of micro-organisms and thereby the...
journal article 2017
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Haringa, C. (author), Tang, Wenjun (author), Deshmukh, Amit T. (author), Xia, Jianye (author), Reuss, Matthias (author), Heijnen, J.J. (author), Noorman, H.J. (author), Mudde, R.F. (author)
The trajectories, referred to as lifelines, of individual microorganisms in an industrial scale fermentor under substrate limiting conditions were studied using an Euler-Lagrange computational fluid dynamics approach. The metabolic response to substrate concentration variations along these lifelines provides deep insight in the dynamic...
journal article 2016