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Optimizing nozzle design in extrusion-based 3D bioprinting to minimize mechanical stress and enhance cell viability

Lookup NU author(s): Dr Annachiara ScalzoneORCiD, Dr Piergiorgio GentileORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License, permitting distribution and reproduction in any medium, provided the original work is properly cited.Extrusion-based three-dimensional bioprinting is a widely used technique for fabricating cell-laden constructs in tissue engineering and regenerative medicine. However, the mechanical stresses experienced by cells during the printing process can negatively affect their viability. This study examines the influence of nozzle geometry—specificallycontractionangleandoutletdiameter—onstressdistribution and its effects on cell survival. Through a combination of experimental analysis and theoretical modeling, the impacts of nozzle design on the balance between shear and extensional stresses during bioprinting are explored. The findings highlight the importance of optimizing nozzle parameters to minimize mechanical damage and enhance post-printing cell viability. The proposed model provides a framework for guiding nozzle design, offering insights into the development of customized bioprinting strategies that enhance construct fidelity and biological functionality. These results contribute to advancing bioprinting techniques for applications in tissue engineering and regenerative medicine.


Publication metadata

Author(s): Lombardi L, Scalzone A, Ausilio C, Gentile P, Tammaro D

Publication type: Article

Publication status: Published

Journal: International Journal of Bioprinting

Year: 2025

Volume: 11

Issue: 4

Pages: 315-327

Online publication date: 16/06/2025

Acceptance date: 16/06/2025

Date deposited: 01/12/2025

ISSN (print): 2424-8002

ISSN (electronic): 2424-7723

Publisher: AccScience Publishing

URL: https://doi.org/10.36922/IJB025190182

DOI: 10.36922/IJB025190182

Data Access Statement: Data are available upon request via lorenzo.lombardi@ unina.it and annachiara.scalzone@iit.it


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