Experimental characterization and computational modeling of hydrogel cross-linking for bioprinting applications

authored by
Aidin Hajikhani, Franca Scocozza, Michele Conti, Michele Marino, Ferdinando Auricchio, Peter Wriggers
Abstract

Alginate-based hydrogels are extensively used to create bioinks for bioprinting, due to their biocompatibility, low toxicity, low costs, and slight gelling. Modeling of bioprinting process can boost experimental design reducing trial-and-error tests. To this aim, the cross-linking kinetics for the chemical gelation of sodium alginate hydrogels via calcium chloride diffusion is analyzed. Experimental measurements on the absorbed volume of calcium chloride in the hydrogel are obtained at different times. Moreover, a reaction-diffusion model is developed, accounting for the dependence of diffusive properties on the gelation degree. The coupled chemical system is solved using finite element discretizations which include the inhomogeneous evolution of hydrogel state in time and space. Experimental results are fitted within the proposed modeling framework, which is thereby calibrated and validated. Moreover, the importance of accounting for cross-linking-dependent diffusive properties is highlighted, showing that, if a constant diffusivity property is employed, the model does not properly capture the experimental evidence. Since the analyzed mechanisms highly affect the evolution of the front of the solidified gel in the final bioprinted structure, the present study is a step towards the development of reliable computational tools for the in silico optimization of protocols and post-printing treatments for bioprinting applications.

Organisation(s)
Institute of Continuum Mechanics
External Organisation(s)
University of Pavia
Type
Article
Journal
International Journal of Artificial Organs
Volume
42
Pages
548-557
No. of pages
10
ISSN
0391-3988
Publication date
10.2019
Publication status
Published
Peer reviewed
Yes
ASJC Scopus subject areas
Bioengineering, Medicine (miscellaneous), Biomaterials, Biomedical Engineering
Electronic version(s)
https://doi.org/10.1177/0391398819856024 (Access: Closed)
 

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