| Title |
Hydrodynamic performance of a single-use aerated stirred bioreactor in animal cell culture: applications of tomography, dynamic gas disengagement (DGD), and CFD
|
|---|---|
| Published in |
Bioprocess and Biosystems Engineering, February 2018
|
| DOI | 10.1007/s00449-018-1902-7 |
| Pubmed ID | |
| Authors |
Argang Kazemzadeh, Cynthia Elias, Melih Tamer, Farhad Ein-Mozaffari |
| Abstract |
The hydrodynamics of gas-liquid two-phase flow in a single-use bioreactor were investigated in detail both experimentally and numerically. Electrical resistance tomography (ERT) and dynamic gas disengagement (DGD) combined with computational fluid dynamics (CFD) were employed to assess the effect of the volumetric gas flow rate and impeller speed on the gas-liquid flow field, local and global gas holdup values, and Sauter mean bubble diameter. From the results obtained from DGD coupled with ERT, the bubble sizes were determined. The experimental data indicated that the total gas holdup values increased with increasing both the rotational speed of impeller and volumetric gas flow rate. Moreover, the analysis of the flow field generated inside the aerated stirred bioreactor was conducted using CFD results. Overall, a more uniform distribution of the gas holdup was obtained at impeller speeds ≥ 100 rpm for volumetric gas flow rates ≥ 1.6 × 10-5 m3/s. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 12% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 6 | 11% |
| Researcher | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 19 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 23% |
| Chemical Engineering | 5 | 9% |
| Agricultural and Biological Sciences | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Chemistry | 2 | 4% |
| Other | 7 | 12% |
| Unknown | 22 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2018.
All research outputs
#17,350,971
of 25,461,852 outputs
Outputs from Bioprocess and Biosystems Engineering
#412
of 604 outputs
Outputs of similar age
#289,223
of 455,823 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
of 1 outputs
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So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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