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Micellar Copolymerization Toughened MXene Hybrid PHEAA Hydrogel with Antibacterial and Antifouling Performances for Flexible Sensing

Journal 2026 · IF 5.2 · 发表于 2026 年 4 月 3 日
作者: Long Chen,Maolin Yu,Jianxiong Xu,Weiqing Liu
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摘要

Highly conductive and mechanical hydrogels with antibacterial and antifouling properties are very important for flexible sensors. In this study, a conductive and mechanically reinforced poly(N-(2-hydroxyethyl)acrylamide) (PHEAA) hybrid double-network hydrogel (denoted as PHCKM) was developed through the aqueous copolymerization of HEAA with polymerizable modified MXene and a hydrophobic mixture of stearyl methacrylate, sodium dodecyl sulfate, and sodium chloride (C18-SDS/NaCl) in the micellar form, in the presence of poly(vinyl alcohol). The optimized PHCKM hydrogel exhibited outstanding comprehensive performances, including high tensile strength (720 kPa), large fracture elongation (1000%), excellent moisture retention (>95% after 7 days at 25 °C and 60% RH), good conductivity (0.78 S/m), high antibacterial efficacy (>99%), effective antifouling ability, and strain responsiveness. The hydrogel-based strain sensor can be used for human electrocardiographic and joint motion monitoring. As a proof of concept, a wearable multichannel sensor was explored for real-time hand motion tracking. Benefiting from a machine learning-assisted multiscale signal decoupling model, high-accuracy recognition of 10 different gestures with over 99% accuracy was achieved. Moreover, the hydrogel-based triboelectric nanogenerator (TENG) showed an open-circuit voltage of 140 V, a short-circuit current of 3.5 μA, and a short-circuit transferred charge of 51 nC. Such a TENG can not only effectively harvest mechanical energy, enabling it to power microelectronic devices for up to 22 s, but also realize self-powered human motion sensing, and a conceptual application of real-time handwriting recognition is demonstrated. The promising potential of such a hydrogel sensor for multifunctional human–machine interfaces with intelligent sensing capabilities is foreseen.