Options
Experimental analysis of lifelines in a 15,000 L bioreactor by means of Lagrangian Sensor Particles
Citation Link: https://doi.org/10.15480/882.9579
Publikationstyp
Journal Article
Date Issued
2024-05-01
Sprache
English
Author(s)
HZDR - Helmholtz-Zentrum Dresden
Haase, Ingrid
HZDR - Helmholtz-Zentrum Dresden
TORE-DOI
Volume
205
Start Page
695
End Page
712
Citation
Chemical Engineering Research and Design 205: 695–712 (2024)
Publisher DOI
Scopus ID
Publisher
Elsevier Ltd on behalf of Institution of Chemical Engineers
This study employs Lagrangian Sensor Particles (LSPs) with a diameter of 40 mm equipped with a pressure sensor to investigate cell lifelines in a 15,000 L stirred tank reactor (STR) with three Elephant Ear impellers. The Stokes number of the LSPs is approx. 0.004 on a macro-scale. The vertical probability of presence, axial velocity profiles, circulation time distributions, and residence time distributions are quantified to analyze single-phase mixing heterogeneities, detect hydrodynamic compartments and conduct a Lagrangian regime analysis. Results reveal a similarly distributed probability of presence in the vertical reactor center but emphasize the LSP's sensitivity to fluctuating densities. Axial velocity distributions illustrate characteristic impeller-induced flow patterns, and circulation time distributions identify three compartments with comparatively shorter times in the axial center. Residence time distributions exhibit a similar compartmentalized profile. Moreover, the study estimates a potential oxygen deprivation zone for CHO cells in the upper compartment and demonstrates the LSP's efficacy in characterizing impeller systems. Contrary to literature, the ratio of examined global mixing times to circulation times is 1.0, highlighting macro-scale mixing. The research underscores that LSPs offer crucial insights into industrial-scale STRs, specifically for determining hydrodynamic compartments without having optical access.
Subjects
Circulation time distribution
Elephant Ear impellers
Industrial scale
Lagrangian regime analysis
Lagrangian Sensor Particles
Residence time distribution
DDC Class
660: Chemistry; Chemical Engineering
Publication version
publishedVersion
Loading...
Name
1-s2.0-S0263876224002193-main.pdf
Type
Main Article
Size
5.26 MB
Format
Adobe PDF