journal article·2026-07Open access

Tunable 3D‐Printed Static Mixers for Gradient Bioprinting With High Cell Viability

Florian Hofmann, Jessica Faber, Franz Moser, Alessandro Cianciosi, Nicoletta Murenu, Joachim Schenk, Katrin G. Heinze, Natascha Schaefer, Silvia Budday, Tomasz Jungst

Advanced Materials Technologies· Volume 11· Issue 13

Abstract

ABSTRACT The fabrication of native tissue‐like structures with gradual transitions in material properties, cell types, and growth factors remains a major challenge in biofabrication due to the lack of suitable methods. Mimicking the hierarchical organization of living tissues is essential for functional models, yet creating gradient, multimaterial architectures that ensure high cell viability and proper tissue maturation remains difficult. Here, we present a novel approach combining extrusion‐based 3D bioprinting with static mixing, using self‐designed digital light processing (DLP) printed mixing units to fabricate defined gradient structures. Two passive mixing geometries, sinusoidal and obstacle‐based, are designed and benchmarked against commercially available static mixers. A method for the evaluation of mixing performance is developed using dyed alginate solutions extruded with cavity pumps. The obstacle design achieved superior mixing compared to the sinusoidal and commercial counterparts. Biocompatibility is assessed with U87 and NIH3T3 cells extruded in polymer solutions of varying viscosities (gelAGE, PEG‐2‐SH, and Matrigel), demonstrating significantly enhanced cell viability in the self‐designed mixers. Graded constructs are produced and characterized via nanoindentation, confirming continuous stiffness gradients. Overall, this approach enables fabrication of gradient structures with enhanced mixing and cell viability, providing a robust, adaptable platform for advanced biofabrication.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: 3D Printing in Biomedical Research · Nanofabrication and Lithography Techniques · Advanced Materials and Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department For Functional Materials in Medicine and Dentistry Institute of Functional Materials and Biofabrication University of Würzburg and Key Lab Polymers for Medicine of the Bavarian Polymer Institute (BPI) Würzburg Germany

Department of Mechanical Engineering, Institute of Continuum Mechanics and Biomechanics FAU Erlangen‐Nürnberg Fürth Germany

Institute For Clinical Neurobiology University Hospital of Würzburg Würzburg Germany

Rudolf Virchow Center For Integrative and Translational Bioimaging Julius‐Maximilians‐Universität (JMU) Würzburg Würzburg Germany

Funding

Deutsche Forschungsgemeinschaft

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