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

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Authors: F. Hofmann, Jessica Faber, Franz Moser, Alessandro Cianciosi, Nicoletta Murenu, Joachim Schenk, Katrin Gertrud Heinze, Natascha Schaefer, Silvia Budday, Tomasz Jüngst
Cited by: 1
References: 48

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.

Fields of Study & Subjects

3D Printing in Biomedical Research Nanofabrication and Lithography Techniques Advanced Materials and Mechanics

Publication details

Journal / source
Advanced Materials Technologies
Publisher
Wiley
Volume
11
Issue
13
Publication date
13 April 2026
Language
EN