Work

Structure-Driven Bioactivity of Chitosan-Agarose-Gelatin Hydrogels Functionalized with Tannic Acid-Cu 2+ /Sr 2+ Complexes

Year: 2026
Type: article
Abstract: Hydrogels represent a versatile platform for regenerative applications; nevertheless, their translation is often limited by insufficient biofunctionality and poorly defined structure–property relationships in multicomponent networks. In chitosan-based hydrogels, performance strongly depends on intrinsic polymer characteristics, requiring precise control of blending and functionalization. Herein, a chitosan-agarose-gelatin blend was functionalized via tannic acid (TA) complexation with Cu 2+, Sr 2+, or a dual Cu 2+ /Sr 2+ system. Chitosan (CS) variants differing in deacetylation degree (DDA), molecular weight ( M W ), and biopolymer origin were systematically evaluated to establish design-performance relationships. Effective functionalization occurred only for shrimp-derived chitosan with DDA >90%, confirming the decisive role of polymer chemistry in network formation. Within this design window, M W (medium and high) controlled structural organization, degradation kinetics, mechanical performance, and antibacterial efficacy. TA-metal complexes enabled tunable antioxidant and antibacterial responses, with TA-Cu 2+ /Sr 2+ combined with high-MW chitosan yielding the most balanced multifunctional profile. This formulation preserved a porous architecture, exhibited controlled biodegradation (∼4.5% per month), maintained structural stability over one month, and reached compressive strength and modulus of ∼25.5 kPa and ∼32.6 kPa, respectively. Strong antioxidant capacity and broad-spectrum antibacterial effects were observed as well. Importantly, despite the incorporation of Sr 2+ for its reported osteoconductive potential, no osteogenic stimulation was observed under the tested conditions. This finding indicates that further optimization of ion ratios and/or TA concentration is required to achieve clinically relevant multibiofunctional hydrogels for bone-related applications.
Language: English
Open Access status: hybrid
Estimated APC paid: $4,500
Award: G939708754
OpenAlex ID: W7154574539
FWCI: 1.887
Cites: 59
Cited by: 1
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