Bioinspired Anti‐Freezing Hydrogel With Localized Ice Regulation for Subzero Soft Robotics

H Hongzhong Du X Xiaofei Chen (School of Materials Science and Engineering) H Hongxiao Gong (State Key Laboratory of Electromechanical Integrated Manufacturing of High‐performance Electronic Equipments Xidian University Xi'an 710071 China) Y Yudi Pang (School of Materials Science and Engineering Beijing Institute of Technology Beijing 100081 China) K Kai Yang Z Zhiming Wang (State Key Laboratory of Luminescent Materials and Devices, and Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates) C Chong Gao B Baixue Lin (State Key Laboratory of Green Biomanufacturing, College of Life Science and Technology Beijing University of Chemical Technology Beijing 100029 China) Z Zhiyuan He (Homogeneous, Supramolecular Catalysis, and Bio-Inspired Catalysis Group, van ’t Hoff Institute for Molecular Sciences (HIMS))

Abstract

AbstractFreezing 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.

Article Details

Volume / Issue Vol. 64, Issue 41
Published October 06, 2025
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (9)

H

Hongzhong Du

X

Xiaofei Chen

School of Materials Science and Engineering

H

Hongxiao Gong

State Key Laboratory of Electromechanical Integrated Manufacturing of High‐performance Electronic Equipments Xidian University Xi'an 710071 China

Y

Yudi Pang

School of Materials Science and Engineering Beijing Institute of Technology Beijing 100081 China

K

Kai Yang

Z

Zhiming Wang

State Key Laboratory of Luminescent Materials and Devices, and Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates

C

Chong Gao

B

Baixue Lin

State Key Laboratory of Green Biomanufacturing, College of Life Science and Technology Beijing University of Chemical Technology Beijing 100029 China

Z

Zhiyuan He

Homogeneous, Supramolecular Catalysis, and Bio-Inspired Catalysis Group, van ’t Hoff Institute for Molecular Sciences (HIMS)