TY - JOUR
T1 - Bioinspired Anti-Freezing Hydrogel With Localized Ice Regulation for Subzero Soft Robotics
AU - Du, Hongzhong
AU - Chen, Xiaofei
AU - Gong, Hongxiao
AU - Pang, Yudi
AU - Yang, Kai
AU - Wang, Zhiming
AU - Gao, Chong
AU - Lin, Baixue
AU - He, Zhiyuan
N1 - Publisher Copyright:
© 2025 Wiley-VCH GmbH.
PY - 2025/10/6
Y1 - 2025/10/6
N2 - 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.
AB - 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.
KW - Anti-freezing hydrogel
KW - Ice growth
KW - Ice nucleation
KW - Soft robotics
UR - http://www.scopus.com/pages/publications/105013546537
U2 - 10.1002/anie.202512142
DO - 10.1002/anie.202512142
M3 - Article
C2 - 40820558
AN - SCOPUS:105013546537
SN - 1433-7851
VL - 64
JO - Angewandte Chemie - International Edition
JF - Angewandte Chemie - International Edition
IS - 41
M1 - e202512142
ER -