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

  • 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/deadMicromixers 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.…show moreshow less

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Metadaten
Author:Michael MengeleORCiD, Josef ZürnORCiD, Tanja LochnerORCiDGND, Ursula WeißORCiD, Malte A. PeterORCiDGND, Janina BahnemannORCiDGND, Christopher HeuerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1329994
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/132999
ISSN:2045-2322OPAC
Parent Title (English):Scientific Reports
Publisher:Nature Publishing
Place of publication:London
Type:Article
Language:English
Year of first Publication:2026
Publishing Institution:Universität Augsburg
Release Date:2026/09/07
Volume:16
Issue:1
First Page:27109
DOI:https://doi.org/10.1038/s41598-026-68945-1
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Fakultätsübergreifende Institute und Einrichtungen
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Physik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehr- und Forschungseinheit Angewandte Analysis
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Physik / Lehrstuhl für Technische Biologie
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Advanced Analytics and Predictive Sciences (CAAPS)
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung