Modeling mass transfer in stirred microbioreactors

Farsani, Hooman Yadollahi; Wutz, Johannes; DeVincentis, Brian; Thomas, John A.; Motevalian, Seyed Pouria

doi:10.1016/j.ces.2021.117146

Cited by 16 publications

(19 citation statements)

References 33 publications

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“…Currently, direct incorporation of a multi‐pool model into M‐STAR, to facilitate two‐way metabolic coupling [ 1 , 2 ], is not yet possible. No fundamental issues are expected with such a coupling, as similar phenomena are already implemented for mass transfer in Lagrangian bubbly flows [ 32 ]. A high number of parcels may be needed to avoid (significant) gradients originating from the discretization of the biomass phase into parcels in combination with the high spatial resolution [ 53 ], however.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, some relevant physical phenomena were lacking until recently, and the need for computing clusters may have been prohibitive. In recent years, this has been changing; a more extensive range of physical phenomena has been included in LB, including reaction, particle/bubble flow [ 28 , 29 , 30 ], rheology [ 31 ], and mass transfer [ 32 ]. In addition, GPU‐based LB [ 33 ] has brought hardware requirements within reach for a wider range of users, while open‐source and commercial codes have simplified application [ 24 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

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An analysis of organism lifelines in an industrial bioreactor using Lattice‐Boltzmann CFD

Haringa

2022

Engineering in Life Sciences

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Euler-Lagrange CFD simulations, where the biotic phase is represented by computational particles (parcels), provide information on environmental gradients inside bioreactors from the microbial perspective. Such information is highly relevant for reactor scale-down and process optimization. One of the major challenges is the computational intensity of CFD simulations, especially when resolution of dynamics in the flowfield is required. Lattice-Boltzmann large-eddy simulations (LB-LES) form a very promising approach for simulating accurate, dynamic flowfields in stirred reactors, at strongly reduced computation times compared to finite volume approaches. In this work, the performance of LB-LES in resolving substrate gradients in large-scale bioreactors is explored, combined with the inclusion of a Lagrangian biotic phase to provide the microbial perspective. In addition, the hydrodynamic performance of the simulations is confirmed by verification of hydrodynamic characteristics (radial velocity, turbulent kinetic energy, energy dissipation) in the impeller discharge stream of a 29 cm diameter stirred tank. The results are compared with prior finite volume simulation results, both in terms of hydrodynamic and biokinetic observations, and time requirements.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An analysis of organism lifelines in an industrial bioreactor using Lattice‐Boltzmann CFD

Haringa

2022

Engineering in Life Sciences

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“…[12] Since these two governing equations are solved in tandem, changes in the species concentration can inform the local viscosity. We solve Equations ( 1) and ( 2) using the lattice-Boltzmann (LB) method ( 13), as discussed in detail in our previous reports (14)(15)(16)(17).…”

Section: Governing Equationsmentioning

confidence: 99%

Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation

Hanspal

DeVincentis²,

Thomas³

2022

Engineering in Life Sciences

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We present a transient large eddy simulation (LES) modeling approach for simulating the interlinked physics describing free surface hydrodynamics, multiphase mixing, reaction kinetics, and mass transport in bioreactor systems. Presented case-studies include non-reacting and reacting bioreactor systems, modeled through the inclusion of uniform reaction rates and more complex biochemical reactions described using Contois type kinetics. It is shown that the presence of reactions can result in a non-uniform spatially varying species concentration field, the magnitude and extent of which is directly related to the reaction rates and the underlying variations in the local volumetric mass transfer coefficient.

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“…The modeling results helped and motivated them to implement practical MEMS biosensors for cancer cell detection. Farsani et al [5] modeled mass transfer in stirred microbial reactors using continuum approach. They have shown great success in simulating reaction phenomena by modeling source and sink term in continuum level species conservation equations.…”

Section: Examples In Practical Implementationmentioning

confidence: 99%

“…Micro and nanoscale devices have contributed tremendously to the fields of engineering, biomedical sciences, applied/natural sciences, health care, instrumentation and many more [1]. The significance of microelectromechanical systems (MEMS) origins due to the change in properties of atomic and molecular systems that to the classical understanding at such small length scales, and have contributed tremendously to modern research community and industry in many positive aspects [2]- [5]. The change in properties has resulted in enhanced resolution power and sensitivity of a microdevice to a device working at macro-scales [6].…”

Section: Introductionmentioning

confidence: 99%

Modeling Approaches for Fluidic Mass Transport in Next Generation Micro and Nano Biomedical Sensors

2022

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This review discusses on current methodologies and trends in modeling fluidic mass transport phenomena in micro and nano scale biomedical devices. We have presented the governing equations for species transport in micro and nano scales and provided analytical as well as computational approaches that can aid in obtaining solutions for complex flow problems. We have also reviewed novel methodologies that modern research community utilized for simulating species transport in micro and nano biomedical sensing devices.

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Modeling mass transfer in stirred microbioreactors

Cited by 16 publications

References 33 publications

An analysis of organism lifelines in an industrial bioreactor using Lattice‐Boltzmann CFD

An analysis of organism lifelines in an industrial bioreactor using Lattice‐Boltzmann CFD

Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large‐eddy simulation

Modeling Approaches for Fluidic Mass Transport in Next Generation Micro and Nano Biomedical Sensors

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