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

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.

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Publication Details

Journal
Advanced Materials Technologies
Published
2026-04-13
DOI
https://doi.org/10.1002/admt.202502436
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

F. Hofmann, Katrin G. Heinze, Jessica Faber, Tomasz Jüngst et al.
Advanced Materials Technologies
3D Printing in Biomedical Research
article

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

F. Hofmann, Katrin G. Heinze, Jessica Faber, Tomasz Jüngst, Alessandro Cianciosi, Joachim Schenk, Silvia Budday, Franz Moser, Nicoletta Murenu, Natascha Schaefer
article en

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.

Advanced Materials Technologies
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University of Würzburg (DE), Universitätsklinikum Würzburg (DE), Bavarian Polymer Institute (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 24%
3D Printing in Biomedical Research
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