CH
C. Haringa
Authored
16 records found
Euler-Lagrange computational fluid dynamics for (bio)reactor scale down
An analysis of organism lifelines
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 a
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Bubbles and Broth
A review on the impact of broth composition on bubble column bioreactor hydrodynamics
The growing global population and heightened concern for climate change leads to increased interest in utilizing microbial fermentations to replace polluting production processes for e.g., plastics, fuels, and animal proteins. Computational fluid dynamics (CFD) is a valuable tool
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Microbial lifelines in bioprocesses
From concept to application
Bioprocesses are scaled up for the production of large product quantities. With larger fermenter volumes, mixing becomes increasingly inefficient and environmental gradients get more prominent than in smaller scales. Environmental gradients have an impact on the microorganism's m
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Predicting by-product gradients of baker’s yeast production at industrial scale
A practical simulation approach
Scaling up bioprocesses is one of the most crucial steps in the commercialization of bioproducts. While it is known that concentration and shear rate gradients occur at larger scales, it is often too risky, if feasible at all, to conduct validation experiments at such scales. Usi
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Computational fluid dynamics simulation of an industrial P. chrysogenum fermentation with a coupled 9-pool metabolic model
Towards rational scale-down and design optimization
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
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Inter-compartment interaction in multi-impeller mixing
Part I. Experiments and multiple reference frame CFD
CFD simulations of mixing in single-phase multi-Rushton stirred tanks based on the RANS methodology frequently show an over-prediction of the mixing time. This hints at an under-prediction of the mass exchange between the compartments formed around the individual impellers. Some
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Inter-compartment interaction in multi-impeller mixing
Part II. Experiments, sliding mesh and large Eddy simulations
Steady state multiple reference frame-RANS (MRF-RANS) simulations frequently show strong over-predictions of the mixing time in single-phase, multi-impeller mixing tanks, which is sometimes patched by ad hoc tuning of the turbulent Schmidt-number. In Part I of this work, we exper
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Through the Organism’s eyes
The interaction between hydrodynamics and metabolic dynamics in industrial-scale fermentation processes
The broth in industrial scale fermentors may contain significant gradients in, for example, substrate concentration, dissolved oxygen and shear rates. From the perspective of microbes in this fermentor, these gradients translate to temporal variations in their environment that ma
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Simulating liquid droplets
A quantitative assessment of lattice Boltzmann and Volume of Fluid methods
While various multiphase flow simulation techniques have found acceptance as predictive tools for processes involving immiscible fluids, none of them can be considered universally applicable. Focusing on accurate simulation of liquid-liquid emulsions at the scale of droplets, we
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Lagrangian modeling of hydrodynamic–kinetic interactions in (bio)chemical reactors
Practical implementation and setup guidelines
Large substrate concentration gradients can exist in chemical or biochemical reactions, resulting from a large circulation time compared to the turnover time of substrates. The influence of such gradients on the microbial metabolism can significantly compromise optimal bioreactor
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From industrial fermentor to CFD-guided downscaling
What have we learned?
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 tra
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Power input effects on degeneration in prolonged penicillin chemostat cultures
A systems analysis at flux, residual glucose, metabolite, and transcript levels
In the present work, by performing chemostat experiments at 400 and 600 RPM, two typical power inputs representative of industrial penicillin fermentation (P/V, 1.00 kW/m3 in more remote zones and 3.83 kW/m3 in the vicinity of the impellers, respectively) were scaled-down to benc
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Power input effects on degeneration in prolonged penicillin chemostat cultures
A systems analysis at flux, residual glucose, metabolite, and transcript levels
In the present work, by performing chemostat experiments at 400 and 600 RPM, two typical power inputs representative of industrial penicillin fermentation (P/V, 1.00 kW/m3 in more remote zones and 3.83 kW/m3 in the vicinity of the impellers, respectively) were scaled-down to benc
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Power input effects on degeneration in prolonged penicillin chemostat cultures
A systems analysis at flux, residual glucose, metabolite, and transcript levels
In the present work, by performing chemostat experiments at 400 and 600 RPM, two typical power inputs representative of industrial penicillin fermentation (P/V, 1.00 kW/m3 in more remote zones and 3.83 kW/m3 in the vicinity of the impellers, respectively) were scaled-down to benc
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Power input effects on degeneration in prolonged penicillin chemostat cultures
A systems analysis at flux, residual glucose, metabolite, and transcript levels
In the present work, by performing chemostat experiments at 400 and 600 RPM, two typical power inputs representative of industrial penicillin fermentation (P/V, 1.00 kW/m3 in more remote zones and 3.83 kW/m3 in the vicinity of the impellers, respectively) were scaled-down to benc
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Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures
The need of a biological systems response analysis
In a 54 m3 large-scale penicillin fermentor, the cells experience substrate gradient cycles at the timescales of global mixing time about 20–40 s. Here, we used an intermittent feeding regime (IFR) and a two-compartment reactor (TCR) to mimic these substrate gradients at laborato
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Contributed
4 records found
Bubble property determination
Comparison between bubble data from a fibre probe, and a camera
An optical fibre probe was tested in liquids with biotechnologically relevant compounds, to determine if any limits arise in bubble property determination due to these compounds. The data from this fibre probe was compared to the data from a camera for which an image processing a
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The computational power problem: a compartment model solution
Automating the dynamic compartmenting of a stirred-tank reactor
The traditional Eulerian view of biomass in bioprocess modelling results in issues when modelling large-scale bioreactors in which heterogeneous conditions are common. As the field increasingly moves from “scale-up” to “scale-down” philosophy, in which such heterogeneities are in
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In recent years, biotechnological processes have gained increased interest due to their potential for high-value compound production and waste recycling. This shift towards biotechnology is driven by global challenges such as food security, climate change, and the transition to r
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