自愈水凝胶
材料科学
纳米技术
共价键
韧性
可穿戴计算机
过程(计算)
信号(编程语言)
计算机科学
可重用性
可穿戴技术
数码产品
无线
涂层
淀粉
聚吡咯
柔性电子器件
脚手架
仿生学
缓冲器(光纤)
聚丙烯酰胺
稳健性(进化)
微流控
作者
Shuaibo Zhang,Donglei Fu,Junjie Deng,Ruyi Wei,Xinghai Liu
出处
期刊:Small
[Wiley]
日期:2026-01-29
卷期号:22 (18): e14890-e14890
标识
DOI:10.1002/smll.202514890
摘要
The development of sustainable flexible electronics is hindered by a lack of sensing materials that synergize eco-friendliness, robust mechanical properties, and reliable electromechanical responsiveness. While starch-based hydrogels present a promising sustainable alternative, their widespread application is limited by inherent brittleness and significant signal hysteresis. Here, a molecular engineering strategy is proposed to address these limitations. Porous starch is first obtained through a gradual solvent exchange process to enhance chain accessibility. Protocatechuic acid (PCA) is then covalently grafted onto the starch backbone via EDC/NHS-mediated esterification, introducing dynamic hydrogen-bonding and π - π interaction motifs. By optimizing the ratio between PCA-modified starch and polyacrylamide (PAM), a bioinspired hydrogel with exceptional toughness and rapid electromechanical response is achieved. The resultant hydrogel exhibited pronounced strain-dependent resistance behavior, enabling its integration into a wireless wearable human-machine interface. To ensure robust decoding against motion-induced noise, a finite state machine (FSM)-based algorithm is employed for adaptive signal segmentation, achieving a character-level accuracy of 99.2% in trials with healthy subjects (n = 10). This work not only introduces a high-performance, sustainable hydrogel platform but also demonstrates a practical route toward inclusive and language-independent human-machine communication.
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