自愈水凝胶
冰核
成核
材料科学
冰晶
纳米技术
冰的形成
化学工程
化学
地质学
工程类
高分子化学
大气科学
物理
光学
有机化学
作者
Hongzhong Du,Xiaofei Chen,Hongxiao Gong,Yudi Pang,Kai Yang,Zhiming Wang,Chong Gao,Baixue Lin,Zhiyuan He
出处
期刊:Angewandte Chemie
[Wiley]
日期:2025-08-17
卷期号:64 (41): e202512142-e202512142
被引量:15
标识
DOI:10.1002/anie.202512142
摘要
Freezing hydrogels at subzero temperatures severely compromises mechanical flexibility, ionic conductivity, and structural integrity, thereby limiting their application in low-temperature environments. Hydrogel freezing involves both ice nucleation and ice growth; however, simultaneously inhibiting these two processes remains a significant challenge. In nature, freeze-tolerant organisms do not rely on completely preventing ice formation to survive freezing conditions. Instead, they utilize bacterial membrane-anchored ice nucleating protein (BMIP) to promote ice nucleation and ice binding protein (IBP) to regulate ice growth, thereby achieving freeze protection through precise ice management. Inspired by this biological strategy of "selective nucleation of small ice crystals with restricted growth," we developed anti-freezing hydrogels by incorporating both BMIP and IBP. The anti-freezing hydrogels exhibit enhanced mechanical and electrical performance at low temperatures, with a non-freezing matrix stable down to -30°C and excellent structural integrity over multiple freeze-thaw cycles. When employed as a functional component of a robotic hand designed for low-temperature operation and integrated with machine learning algorithms, the anti-freezing hydrogels enable precise recognition of object stiffness and size under ultra-low temperature conditions. This bioinspired approach provides a promising strategy for the development of next-generation anti-freezing hydrogels capable of supporting stable human-robot-environment interactions in harsh, low-temperature environments.
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