The DaRUS repository entails the raw files, result files and the MATLAB codes for the publication "Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles" in the journal "Chemical Engineering Research and Design". 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.
Related to: S. Hofmann, L. Buntkiel, R. Rautenbach, L. Gaugler, Y. Ma, I. Haase, J. Fitschen, T. Wucherpfennig, S. Reinecke, M. Hoffmann, R. Takors, U. Hampel, M. Schlüter, Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles, Chemical Engineering Research and Design (ChERD) (2024). doi: 10.1016/j.cherd.2024.04.015
%0 Generic
%1 hofmann2024experimental
%A Hofmann, Sebastian
%A Buntkiel, Lukas
%A Rautenbach, Ryan
%A Gaugler, Lena
%A Ma, Yifan
%A Haase, Ingrid
%A Fitschen, Jürgen
%A Wucherpfennig, Thomas
%A Reinecke, Sebastian
%A Hoffmann, Marko
%A Takors, Ralf
%A Hampel, Uwe
%A Schlüter, Michael
%D 2024
%K darus ubs_10004 ubs_20005 ubs_30053 ubs_40077 unibibliografie
%R 10.18419/darus-3768
%T Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
%X The DaRUS repository entails the raw files, result files and the MATLAB codes for the publication "Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles" in the journal "Chemical Engineering Research and Design". 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.
@misc{hofmann2024experimental,
abstract = {The DaRUS repository entails the raw files, result files and the MATLAB codes for the publication "Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles" in the journal "Chemical Engineering Research and Design". 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. },
added-at = {2024-04-29T10:33:23.000+0200},
affiliation = {Hofmann, Sebastian/TU Hamburg (TUHH), Buntkiel, Lukas/Helmholtz-Zentrum Dresden-Rossendorf, Rautenbach, Ryan/TU Hamburg (TUHH), Gaugler, Lena/University of Stuttgart, Ma, Yifan/Helmholtz-Zentrum Dresden-Rossendorf, Haase, Ingrid/TU Hamburg (TUHH), Fitschen, Jürgen/Boehringer Ingelheim Pharma GmbH & Co KG Late Stage USP Development, Wucherpfennig, Thomas/Boehringer Ingelheim Pharma GmbH & Co KG Late Stage USP Development, Reinecke, Sebastian/Helmholtz-Zentrum Dresden-Rossendorf, Hoffmann, Marko/TU Hamburg (TUHH), Takors, Ralf/University of Stuttgart, Hampel, Uwe/Helmholtz-Zentrum Dresden-Rossendorf, Schlüter, Michael/TU Hamburg (TUHH)},
author = {Hofmann, Sebastian and Buntkiel, Lukas and Rautenbach, Ryan and Gaugler, Lena and Ma, Yifan and Haase, Ingrid and Fitschen, Jürgen and Wucherpfennig, Thomas and Reinecke, Sebastian and Hoffmann, Marko and Takors, Ralf and Hampel, Uwe and Schlüter, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2366d22020022e10cc218139adb50c9ca/unibiblio},
doi = {10.18419/darus-3768},
howpublished = {Software},
interhash = {c047291d4a728441344121c593cf4b4b},
intrahash = {366d22020022e10cc218139adb50c9ca},
keywords = {darus ubs_10004 ubs_20005 ubs_30053 ubs_40077 unibibliografie},
note = {Related to: S. Hofmann, L. Buntkiel, R. Rautenbach, L. Gaugler, Y. Ma, I. Haase, J. Fitschen, T. Wucherpfennig, S. Reinecke, M. Hoffmann, R. Takors, U. Hampel, M. Schlüter, Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles, Chemical Engineering Research and Design (ChERD) (2024). doi: 10.1016/j.cherd.2024.04.015},
orcid-numbers = {Hofmann, Sebastian/0000-0002-4312-7402, Buntkiel, Lukas/0000-0003-3721-489X, Rautenbach, Ryan/0000-0002-6943-2077, Gaugler, Lena/0000-0001-6817-9068, Ma, Yifan/0009-0003-8990-665X, Fitschen, Jürgen/0000-0002-1418-933X, Wucherpfennig, Thomas/0009-0002-0776-1542, Reinecke, Sebastian/0000-0003-2705-0692, Takors, Ralf/0000-0001-5837-6906, Hampel, Uwe/0000-0002-7371-0148, Schlüter, Michael/0000-0001-5969-2150},
timestamp = {2024-11-08T15:25:37.000+0100},
title = {Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles},
year = 2024
}
