Characterization of power input and its impact on mass transfer in a rocking disposable bioreactor

Bai, Yun; Moo‐Young, Murray; Anderson, William A.

doi:10.1016/j.ces.2019.115183

Cited by 14 publications

(12 citation statements)

References 48 publications

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“…As seen, much of the liquid in the bag experiences relatively low energy dissipation rates, confirming that the wave bag is a “low shear bioreactor.” From Equation (8), P / V is obtained from different rpm and rotating angles in Figure 6. The P / V values vary from a base to a peak during the rocking process, similar to the experimental observations 20 . It is noticed that the average P / V values are in the similar order of magnitude as those from shake flask 8 and stirred bioreactors for mammalian cell culture.…”

Section: Cfd Simulation Resultssupporting

confidence: 84%

“…It is noticed that the average P / V values are in the similar order of magnitude as those from shake flask 8 and stirred bioreactors for mammalian cell culture. A similar power input range was reported for a fill volume of 10%, at a rocking rate of 6–30 rpm at a rocking angle of 10° in a 2‐L wave bag 21 and a fill volume of 30–50%, rocking rates of 10–40 rpm at rocking angles of 8–12° in both 10 and 20 L wave bags 20 . It is observed that P / V increases with an increase in either rocking angle or rocking frequency.…”

Section: Cfd Simulation Resultssupporting

confidence: 77%

“…It is observed that P / V increases with an increase in either rocking angle or rocking frequency. The increase is not substantial at the rocking rate of 30–40 rpm for rocking angles at 7 and 10°, which may be explained with the “out‐of‐phase” movement of liquid under these conditions 20,22 . At a rocking angle of 15°, due to entrapment of more air bubbles, bubble breakage contributes to high P / V values for the rocking rates from 25 to 40 rpm.…”

Section: Cfd Simulation Resultsmentioning

confidence: 91%

“…The P/V values vary from a base to a peak during the rocking process, similar to the experimental observations. 20 It is noticed that the average P/V values are in the similar order of magnitude as those from shake wave slope (the ratio of wave height and length), and the mass of a wave. However, the wave crest length of 0.25-0.45 m, the wave slope range from 0.3-0.7 and the mass of a wave ranging from half to two thirds of the total mass of the liquid cannot well correlated with the operational conditions such as fill volume, rocking frequency and rocking angle, therefore, the wave energy dissipation rate cannot be estimated from the estimation.…”

Section: Flow Fields and Power Inputmentioning

confidence: 79%

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Computational fluid dynamics analysis of mixing and gas–liquid mass transfer in wave bag bioreactor

Svay

Urrea

Shamlou

et al. 2020

Biotechnology Progress

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Single use bioreactors provide an attractive alternative to traditional deep-tank stainless steel bioreactors in process development and more recently manufacturing process. Wave bag bioreactors, in particular, have shown potential applications for cultivation of shear sensitive human and animal cells. However, the lack of knowledge about the complex fluid flow environment prevailing in wave bag bioreactors has so far hampered the development of a scientific rationale for their scale up. In this study, we use computational fluid dynamics (CFD) to investigate the details of the flow field in a 20-L wave bag bioreactor as a function of rocking angle and rocking speed. The results are presented in terms of local and mean velocities, mixing, and energy dissipation rates, which are used to create a process engineering framework for the scaleup of wave bag bioreactors. Proof-of-concept analysis of mixing and fluid flow in the 20-L wave bag bioreactor demonstrates the applicability of the CFD methodology and the temporal and spatial energy dissipation rates integrated and averaged over the liquid volume in the bag provide the means to correlate experimental volumetric oxygen transfer rates (k L a) data with power per unit volume. This correlation could be used as a rule of thumb for scaling up and down the wave bag bioreactors.

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Section: Cfd Simulation Resultssupporting

confidence: 84%

Section: Cfd Simulation Resultssupporting

confidence: 77%

Section: Cfd Simulation Resultsmentioning

confidence: 91%

Section: Flow Fields and Power Inputmentioning

confidence: 79%

See 2 more Smart Citations

Computational fluid dynamics analysis of mixing and gas–liquid mass transfer in wave bag bioreactor

Svay

Urrea

Shamlou

et al. 2020

Biotechnology Progress

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“…Additionally, a CFD simulation was conducted to compare the fluid flow inside the culture bags as time progressed [13]. Bai et al analyzed the bioreactor's mixing time and power input as a function of the rocking speed [14]. Kybal and Sikyta designed a bioreactor for low-volume cell cultures [15].…”

Section: Introductionmentioning

confidence: 99%

Mixing Characteristics for Scale‐up of an Orbital Shaken Bioreactor

Lee

Lee²,

Seo

2022

Chem Eng & Technol

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Two types of culture bags are typically used. Among the criteria for evaluating the bioreactor performance, mixing time and shear stress are important indicators. Experiments and numerical analyses are conducted to evaluate and predict the performance of an orbital shaken bioreactor by analyzing mixing time and shear stress. Reliability is ensured by performing numerical analysis under the same conditions using FLUENT. The error between the experimental and numerical analysis results is within the error range of the experiments. For two different working fluid volumes the mixing time and shear stress are predicted using validated numerical models.

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Experimental study of the topological flow transformations in an aerial vortex bioreactor with a floating washer

Naumov,

Gevorgiz,

Skripkin

et al. 2023

Biotechnology Journal

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BackgroundResearch into the flow structure in an aerial vortex bioreactor is relevant for developing the methods for growing cell cultures. Determining the optimal cultivation condition for a certain process is especially important in the case when such parameters of the medium as density and viscosity significantly change with the culture growth in the bioreactor.Methods and resultsThe research of the flow dynamic was carried out in an 8.5 L universal aerial vortex bioreactor, with a washer freely floating on its surface and stabilizing the motion of the working fluid. The regularities of the vortex motion of the culture medium have been determined by Particle Image Velocimetry depending on its volume and the intensity of rotation of the activator, generating vortex motion in the air.Conclusion: The observed vortex structure and its dynamics at increasing flow swirl intensity are established to coincide with the structure of a confined vortex flow in a cylindrical container with no washer for both single and two‐fluid configurations. This novel methodology of the flow optimization shows that an ascending swirling jet forms in the vicinity of the bioreactor axis, and a bubble‐like vortex breakdown forms in the axial region.

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Characterization of power input and its impact on mass transfer in a rocking disposable bioreactor

Cited by 14 publications

References 48 publications

Computational fluid dynamics analysis of mixing and gas–liquid mass transfer in wave bag bioreactor

Computational fluid dynamics analysis of mixing and gas–liquid mass transfer in wave bag bioreactor

Mixing Characteristics for Scale‐up of an Orbital Shaken Bioreactor

Experimental study of the topological flow transformations in an aerial vortex bioreactor with a floating washer

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