Solidification of Gelatine Hydrogels by Using a Cryoplatform and Its Validation through CFD Approaches

Area of Science:

• Biomaterials Engineering
• Materials Science
• Computational Fluid Dynamics

Background:

• Hydrogels offer excellent biocompatibility but present challenges in precise 3D printing due to poor shape fidelity.
• Existing printing methods struggle with maintaining structural integrity and precise feature replication of hydrogels.

Purpose of the Study:

• To develop a numerical approach for predicting and evaluating cryogenic printing of hydrogels.
• To establish optimal working conditions on a cryoplatform for improved hydrogel printing.
• To enhance shape fidelity and control scaffold porosity in 3D printed hydrogels.

Main Methods:

• Developed an experimental platform for cryogenic printing of hydrogels.
• Investigated thermophysical properties of gelatine hydrogels during freezing.
• Created a computational fluid dynamics (CFD) model simulating gelatine hydrogel solidification on a cryoplatform.

Main Results:

• Demonstrated that cryogenic cooling accelerates physical stabilization of printed hydrogel layers.
• Showcased precise control over solidification (crystallization) to maintain shape fidelity and porosity.
• Validated the CFD model's ability to mimic gelatine hydrogel solidification under various conditions.

Conclusions:

• Cryogenic printing significantly improves shape fidelity and structural integrity of hydrogel scaffolds.
• The developed CFD model serves as a predictive tool for optimizing hydrogel printing parameters.
• This approach enables selective control over scaffold porosity, crucial for tissue engineering applications.