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Photochemically driven one-step triple dynamic network formation in printable tough hydrogel for self-healing tubular sensors

Journal 2023 · IF 4.6 · 14(13): 1536-1542 · 发表于 2023 年 3 月 6 日
作者: Liwei Sun,Zhe Lu,Ping Zhang,Hongqiu Wei,You Yu
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摘要

Self-healing hydrogels have attracted widespread attention due to their excellent biocompatibility, mechanical properties, and reparability. However, it is still a challenge to construct in one step printable self-healing tough hydrogels (PSHTHs), which limits their advanced application. Here, we report a photochemically driven dynamic multinetwork formation (PDDMF) strategy for the one-step design of high-performance multinetwork PSHTHs. Orthogonal ruthenium photochemistry helps in the simultaneous formation of multiple covalent and dynamic networks in ∼10 s. Triple dynamic networks of PSHTHs improve their mechanical performance and enable them to have excellent self-healing ability. These reversible hydrogen-bonded and ionically crosslinked networks could be healed in around 3 s after being destroyed at large shear strains (1000%). Also, PSHTHs exhibit 90% self-healing efficiency after multiple instances of mechanical damage and have mechanical performances similar to those of fresh samples. More importantly, this PDDMF strategy is controlled by simply adjusting the irradiation procedures and is compatible with standard extrusion printing technology to make complex 3D structures. As a proof-of-concept, highly sensitive tubular sensors are designed to detect environmental pressures anisotropically. It is anticipated that this PDDMF strategy and the as-prepared PSHTHs have potential applications in fabricating high-performance self-healing wearable devices, sensors, and bioelectronics.

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