材料科学
自愈水凝胶
可穿戴计算机
弯曲
人体运动
韧性
纳米技术
可穿戴技术
聚乙烯醇
信号(编程语言)
模数
计算机科学
生物医学工程
超细纤维
机械强度
结构健康监测
组织工程
作者
Boyu Du,Tian Tang,Yu Wang,Jiajun Zhang,Yuxin Yang,Shaochao Sun,Hanmin Wang,Yuebin Xi,Tairan Pang,Chuanling Si
出处
期刊:Rare Metals
[Springer Science+Business Media]
日期:2026-10-01
卷期号:45 (10)
摘要
ABSTRACT Biomass‐based hydrogels are widely regarded as ideal substrates for self‐powered wearable sensors. However, the practical applications of hydrogels are commonly limited by their inherent low strength and toughness, which restrict their capacity to withstand repeated stretching, bending and other mechanical loads arising from human motion in wearable device scenarios. Inspired by the natural lignocellulosic architecture of plant cell walls, this study devised a biomimetic molecular engineering strategy for fabricating a novel lignin‐based hydrogel via the gradual self‐diffusion of sulfonated and demethylated modified lignin (SDL) into a polyvinyl alcohol (PVA) solution. Simulation and characterisation results demonstrated that the cross‐linked network and mechanical performance of the hydrogels were primarily governed by the formation and gradual densification of robust crystalline domains induced by SDL. The optimised lignin‐based hydrogel (SDLP‐ST48, soaking time 48 h) exhibited excellent mechanical performance, demonstrating a stress of 22.1 MPa, strain of 530%, Young's modulus of 19.6 MPa and toughness of 59.1 MJ m −3 . The self‐powered wearable sensor fabricated using SDLP‐ST48 displayed a high response speed (82 ms), rapid recovery (67 ms) and excellent stability over 900 cycles. Furthermore, five self‐powered sensors were integrated into the fingertips of a robotic hand. The multichannel intelligent sensing system exhibited an output signal recognition accuracy of 97% for eight unknown objects. Overall, this study provides new insights for addressing the key issues associated with the synthesis and application of high‐strength hydrogels.
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