Self-Healing, Anti-Fatigue, antimicrobial ionic conductive hydrogels based on Choline-Amino acid polyionic liquids for Multi-Functional sensors

生物相容性 自愈水凝胶 材料科学 导电体 标度系数 化学 纳米技术 离子键合 高分子化学 离子 复合材料 有机化学 制作 冶金 病理 替代医学 医学
作者
Xiaoling He,Jing Dong,Xiannan Zhang,Xinyuan Bai,Chen Zhang,Dongsheng Wei
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:435: 135168-135168 被引量:128
标识
DOI:10.1016/j.cej.2022.135168
摘要

Conductive hydrogels have recently attracted extensive attention due to their broad application prospects in flexible electronic devices and artificial intelligence. However, it is still a great challenge to develop integrated conductive hydrogels with excellent mechanical properties, efficient self-healing ability and high sensitivity. Moreover, most conductive hydrogels have no antimicrobial activity, which may lead to microbial infection during their applications. Herein, a series of versatile ionic conductive hydrogels based on choline-amino acid polyionic liquids(Cho-AA PILs) were designed by double network (DN) methodology. Owing to the reversible nature of dynamic coordination interaction, including metal coordination bonds, hydrogen bonds and electrostatic interactions, the resultant PIL hydrogels exhibited efficient self-healing ability, high energy dissipation capacity and outstanding fatigue resistance. The incorporation of Cho-AA PILs endowed hydrogels with not only high antimicrobial activity but also sensitive, rapid and stable strain sensing ability. The gauge factor(GF) and response time of PIL flexible sensors were 2.65 and 100 ms, respectively. During 1000 cycles, the electrical response signal of the strain sensor still remained stable. Significantly, PIL flexible sensors were able to monitor and distinguish large human body motions and subtle physiological activities and show sensitivity to pressure and handwriting. In addition, PIL hydrogels exhibited excellent biocompatibility. These results predicted that the prepared PIL hydrogels possess promising application prospects in the fields of artificial intelligence and biomedical engineering.
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