Alginate-Gelatin Self-Healing Hydrogel Produced via Static-Dynamic Crosslinking

Alginate-gelatin hydrogels mimicking extracellular matrix (ECM) of soft tissues have been generated by static-dynamic double crosslinking, allowing fine control over the physical and chemical properties. Dynamic crosslinking provides self-healing and injectability attributes to the hydrogel and promotes cell migration and proliferation, while the static network improves stability. The static crosslinking was performed by enzymatic coupling of the tyrosine residues of gelatin with tyramine residues inserted in the alginate backbone, catalyzed by horseradish peroxidase (HRP). The dynamic crosslinking was obtained by functionalizing alginate with 3-aminophenylboronic acid which generates a reversible bond with the vicinal hydroxyl groups of the alginate chains. Varying the ratio of alginate and gelatin, hydrogels with different properties were obtained, and the most suitable for 3D soft tissue model development with a 2.5:1 alginate:gelatin molar ratio was selected. The selected hydrogel was characterized with a swelling test, rheology test, self-healing test and by cytotoxicity, and the formulation resulted in transparent, reproducible, varying biomaterial batch, with a fast gelation time and cell biocompatibility. It is able to modulate the loss of the inner structure stability for a longer time with respect to the formulation made with only covalent enzymatic crosslinking, and shows self-healing properties.

Automated summary

Alginate-gelatin hydrogels mimicking the ECM of soft tissues were generated by static-dynamic double crosslinking, providing fine control over physical and chemical properties. The static crosslinking was achieved through enzymatic coupling of gelatin and alginate, while the dynamic crosslinking was obtained by functionalizing alginate with 3-aminophenylboronic acid. The hydrogel with a 2.5:1 alginate:gelatin molar ratio showed transparent, reproducible, and self-healing properties, making it suitable for 3D soft tissue model development.