Evidence map›Paper›PMID 42373904›Full record

ArticleApplied microbiology and biotechnology2026

Improving the reproducibility of mixing-time experiments in stirred single-use bioreactors.

Isabelle Barth, Christian Holbeck, Charlotte Capitain, Tanja Schirmeister, Percy Kampeis

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Isabelle BarthInstitute for Biotechnical Process Design, Environmental Campus Birkenfeld, Trier University of Applied Sciences, Campusallee 9913, 55768, Hoppstädten-Weiersbach, Germany. i.barth@umwelt-campus.de.ORCID https://orcid.org/0009-0004-1630-8146
Christian HolbeckInstitute for Biotechnical Process Design, Environmental Campus Birkenfeld, Trier University of Applied Sciences, Campusallee 9913, 55768, Hoppstädten-Weiersbach, Germany.
Charlotte CapitainInstitute for Biotechnical Process Design, Environmental Campus Birkenfeld, Trier University of Applied Sciences, Campusallee 9913, 55768, Hoppstädten-Weiersbach, Germany.
Tanja SchirmeisterInstitute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University Mainz, Mainz, Germany.
Percy KampeisInstitute for Biotechnical Process Design, Environmental Campus Birkenfeld, Trier University of Applied Sciences, Campusallee 9913, 55768, Hoppstädten-Weiersbach, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixing time is a key metric for characterizing bioreactors, as it governs bulk homogenization and correlates with the underlying flow field and shear exposure. Having knowledge of turbulent flow regimes is particularly important for shear-sensitive (mammalian) cells, which are often cultivated in single-use systems. To characterize such systems in terms of their mixing-time behavior, colorimetric pH-shift assays can be employed. However, operator-dependent variability during the reagent addition often limits the comparability of such experiments. To address this limitation and enhance reproducibility, a compact linear actuator was developed that enables automation and, thus, standardization of the addition process. The device was designed using computer-aided design software, fabricated via 3D printing, and subsequently integrated into mixing-time experiments. It is compatible with both stirred single-use bioreactors and glass bioreactors. For automated experiments using the linear actuator, neither the mixing time nor the replicate variance increased in the single-use bioreactor relative to the glass bioreactor under non-aerated conditions, demonstrating strong comparability between the two systems. The use of the linear actuator increased measurement precision, as evidenced by a 13.6% reduction in the coefficient of variation. This improvement resulted from the injection profiles, which were consistent in their immersion depth, immersion angle, tracer volume, and injection speed. Accordingly, this approach provides a low-cost, plug-and-play method to improve the reproducibility of mixing-time experiments, thereby facilitating bioreactor characterization, technology transfer, and validation of computational fluid dynamics models. KEY POINTS: Automated acid/base dosing improves reproducibility versus manual addition. Variation of the local mixing is detectable through spatially resolved analysis. Enables robust characterization of both stirred single-use and glass bioreactors.

Indexed as

BioreactorsComputer-Aided DesignEquipment DesignHydrogen-Ion ConcentrationPrinting, Three-DimensionalReproducibility of ResultsTime Factors3D printingAutomationMixing timeSingle-use bioreactorStirred-tank bioreactor

Identifiers

PMID42373904
PMCPMC13315465

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.