Ultrastretchable, repairable and highly sensitive xanthan collagen nanosilver hydrogel for wide temperature flexible sensing

自愈水凝胶 材料科学 生物相容性 纳米技术 超分子化学 可穿戴计算机 压阻效应 计算机科学 化学 光电子学 嵌入式系统 高分子化学 晶体结构 冶金 结晶学
作者
Baoting Dong,Dehai Yu,Wenxia Liu
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:470: 144385-144385 被引量:27
标识
DOI:10.1016/j.cej.2023.144385
摘要

Conductive hydrogels, lauded for their electrical conductivity, precise information capture, biocompatibility, and extensibility, have gained prominence as ideal candidate materials for flexible wearable sensor applications. Nevertheless, these sensors must surmount numerous challenges such as environmental temperature variations, bacterial growth in high-humidity environments, low signal detection sensitivity, irreversible damage, and mechanical performance stability during use. In response to these challenges, we present a hydrophobic supramolecular and dynamic coordination double-network hydrogel, prepared through a solvent-exchange method, with an accelerated gelation rate. The coordination of dynamic hydrogen bonds and coordination bonds within the hydrophobic supramolecular network imbues the hydrogel with superior mechanical properties (elongation at break around 4900%, tensile strength approximately 506 kPa) and improved self-healing capabilities. This solvent-exchange-mediated hydrogel exhibits broad temperature resilience (−20–60 °C) and reliable repeatability. Additionally, the sensor enables wireless human signal monitoring with a rapid response time (75 ms) and heightened sensitivity (gauge factor = 22.34). The wearable sensor’s antibacterial efficacy effectively suppresses bacterial propagation in high-moisture hydrogels, with a bacterial inhibition rate of 99.9%. The findings from our series of studies reveal the successful fabrication of stable, flexible wearable sensors with self-healing, antibacterial, high sensitivity, and broad temperature tolerance characteristics, showcasing the immense potential for applications in wearable electronics, wireless monitoring, and human–machine interactions.
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