Enhancing reproducibility in mixing time determination of stirred tank reactors via automated analysis and standardized inter-laboratory trials

Determining the mixing time in a mixing apparatus enables the evaluation of mixing quality and, therefore, represents a valuable tool for characterizing unit operations in process engineering. Mixing is highly relevant in both upstream processes (e.g., bioreactors) and downstream processes (e.g., blending tanks in diafiltration) in biotechnology and pharmaceutics. The aim of combining a colorimetric method with video capture and automated image analysis is to provide a robust, standardized methodology for determining mixing times in transparent bioreactors, such as laboratory-scale glass bioreactors and single-use bioreactors. A Python-based tool for video analysis was developed for this purpose. The Python script provides different mixing indices that enable the evaluation of both global and local mixing times under varying stirring speeds and aeration rates. This approach offers deep insights into the mixing process and enables the identification of heterogeneities. A round-robin study involving members of the DECHEMA Working Group "Single-Use Technologies for Bio-Based Applications" is currently being conducted to enhance the analysis and ensure reproducibility across different laboratories, thereby providing a robust basis for validating computational-fluid dynamics simulations. Initial reproducibility issues were identified and addressed in the standard operating procedure, demonstrating that a framework for automated analysis and improved standardization has been established. KEY POINTS: • Mixing-time experiments conducted at different aeration rates and stirring speeds • Automated video analysis for determining mixing times on both global and local scales • Identification of heterogeneities through visualization of local mixing times.

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Publication Details

Journal
Applied Microbiology and Biotechnology
Published
2026-06-30
DOI
https://doi.org/10.1007/s00253-026-13941-8
Citations
1
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
4.83

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article

Enhancing reproducibility in mixing time determination of stirred tank reactors via automated analysis and standardized inter-laboratory trials

Jürgen Fitschen, Percy Kampeis, Dominic Kues, Ute Husemann et al.
1 citations
Applied Microbiology and Biotechnology
Fluid Dynamics and Mixing
4.83
article

Enhancing reproducibility in mixing time determination of stirred tank reactors via automated analysis and standardized inter-laboratory trials

Jürgen Fitschen, Percy Kampeis, Dominic Kues, Ute Husemann, Christian Sieblist, Cedric Schirmer, Isabelle Barth, Igor Vassilev, Christoph Bouvier, Christoph Neubrand, Bernd Tscheschke
article en
1 citations

Abstract

Determining the mixing time in a mixing apparatus enables the evaluation of mixing quality and, therefore, represents a valuable tool for characterizing unit operations in process engineering. Mixing is highly relevant in both upstream processes (e.g., bioreactors) and downstream processes (e.g., blending tanks in diafiltration) in biotechnology and pharmaceutics. The aim of combining a colorimetric method with video capture and automated image analysis is to provide a robust, standardized methodology for determining mixing times in transparent bioreactors, such as laboratory-scale glass bioreactors and single-use bioreactors. A Python-based tool for video analysis was developed for this purpose. The Python script provides different mixing indices that enable the evaluation of both global and local mixing times under varying stirring speeds and aeration rates. This approach offers deep insights into the mixing process and enables the identification of heterogeneities. A round-robin study involving members of the DECHEMA Working Group "Single-Use Technologies for Bio-Based Applications" is currently being conducted to enhance the analysis and ensure reproducibility across different laboratories, thereby providing a robust basis for validating computational-fluid dynamics simulations. Initial reproducibility issues were identified and addressed in the standard operating procedure, demonstrating that a framework for automated analysis and improved standardization has been established. KEY POINTS: • Mixing-time experiments conducted at different aeration rates and stirring speeds • Automated video analysis for determining mixing times on both global and local scales • Identification of heterogeneities through visualization of local mixing times.

Applied Microbiology and BiotechnologyVol. 110(1)
Boehringer Ingelheim (Germany) (DE), Trier University of Applied Sciences (DE), Eppendorf (Germany) (DE), Roche Pharma AG (Germany) (DE), Rentschler Biopharma (Germany) (DE), Sartorius (Germany) (DE), Bayer (Germany) (DE), ZHAW Zurich University of Applied Sciences (CH)
Bayer, Zürcher Hochschule für Angewandte Wissenschaften
Openalex Percentile: Top 4%
Fluid Dynamics and Mixing
4.83
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