Evidence map›Paper›PMID 42665650›Full record

ArticleScientific reports2026

Comparative numerical and experimental evaluation of 3D-printed micromixers for biotechnological applications.

Michael Mengele, Josef Zürn, Tanja Lochner, Ursula Weiß, Malte A Peter, Janina Bahnemann, Christopher Heuer

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Michael Mengele *Institute of Physics, University of Augsburg, 86159, Augsburg, Germany.ORCID 0009-0008-2677-238X
Josef Zürn *Institute of Physics, University of Augsburg, 86159, Augsburg, Germany.ORCID 0009-0006-5349-2266
Tanja LochnerInstitute of Mathematics, University of Augsburg, 86159, Augsburg, Germany.ORCID 0000-0003-1962-5724
Ursula WeißCentre for Advanced Analytics and Predictive Sciences (CAAPS), University of Augsburg, 86159, Augsburg, Germany.ORCID 0009-0008-7928-737X
Malte A PeterInstitute of Mathematics, University of Augsburg, 86159, Augsburg, Germany.ORCID 0000-0001-6107-9806
Janina BahnemannInstitute of Physics, University of Augsburg, 86159, Augsburg, Germany.ORCID 0000-0002-7008-1673
Christopher HeuerInstitute of Physics, University of Augsburg, 86159, Augsburg, Germany. Christopher.heuer@uni-a.de.ORCID 0000-0002-3694-0008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micromixers are essential in microfluidic-based biotechnology and diagnostics, where reproducible reactions and rapid mass transfer are crucial. Although many geometries exist, consistent comparison across dimensions, fabrication methods, and evaluation techniques remains challenging. In this study, we present a comparative analysis of six micromixer designs, focusing on mixing efficiency, pressure drop, shear stress, and the energy-dissipation rate. The devices were fabricated using high-definition 3D printing and studied experimentally and with high-resolution computational fluid dynamics (CFD) simulations. Tests covered a wide Reynolds-number range (Re = 0.1-200). At both ends of this range, most designs achieved adequate mixing. The greatest disparities emerged in the intermediate regime (Re = 1-50), with the Kenics geometry outperforming all other designs. Our grid-optimized CFD results matched experimental trends and quantified local shear and energy-dissipation rates. Live/dead assays using an industrially relevant Chinese hamster ovary (CHO) cell line showed unchanged viability immediately after mixing and during subsequent cultivation. By combining experimentally validated CFD predictions, systematic grid-optimized assessment, and biological validation within a single framework, this study establishes a consistent basis for comparing micromixer designs and selecting those that match desired combinations of mixing performance, pressure drop, volume, shear stress, and the energy-dissipation rate.

Indexed as

BiotechnologyMicrofluidic Analytical TechniquesMicrofluidicsPrinting, Three-DimensionalAnimalsCHO CellsComputer SimulationCricetulusEquipment DesignHydrodynamics3D printingCFDEnergy-dissipation rateMammalian cell cultureMicrofluidicsShear sensitivity

Identifiers

PMID42665650
PMCPMC13524954

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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.