journal article·2026-02Open access

Nanocellulose hydrogels with tunable porosity, high elongation, and autonomous healing for promote wound repair

Lifang Wang, Weidong Yu, Shan Yi, Amjad Farooq, Hong Qiu, Li Chen, Yika Tang, Hongguo Gao, Meiying Wang, Lifang Liu

Abstract

Conventional hydrogel dressings often fail to simultaneously achieve adhesivity, rapid self-healing, and structural adaptability required for dynamic and irregular wound environments. Here, we report the fabrication of a dual-crosslinked nanocellulose hydrogel via a gradient temperature-controlled strategy, which confers tissue adhesion, tunable porosity, and rapid self-repair. In this process, cellulose nanofibers (CNF) and polyvinyl alcohol (PVA) were dissolved at 90 °C, gelatin was introduced at 70 °C, and reversible borate ester crosslinking was induced at 37 °C, enabling controlled assembly and uniform network formation. The resulting hydrogel exhibited exceptional mechanical performance, with stretchability exceeding 1000% strain and ultrafast self-healing within 8 s at 37 °C. It also showed intrinsic antibacterial activity, achieving an 84.3% inhibition rate against Staphylococcus aureus. Mechanistic studies revealed that the stepwise assembly stabilized CNF/PVA hydrogen-bonded frameworks and facilitated energy dissipation via dynamic borate bond reconfiguration, thereby underpinning the multifunctional properties. In vivo, the hydrogel accelerated wound closure (95.8% at day 14 vs. 84.4% for gauze) and enhanced collagen deposition. Furthermore, it conformed seamlessly to irregular anatomical sites such as joints, minimized secondary tissue damage, and maintained reliable adhesion strength (4.38 kPa). This design thus establishes a rational paradigm for developing next-generation, multifunctional hydrogel dressings for precision wound care.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Wound Healing and Treatments · Hydrogels: synthesis, properties, applications · Surgical Sutures and Adhesives

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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