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Updated: Aug 2, 2025
Controlled Strain of 3D Hydrogels under Live Microscopy Imaging
Published on: December 4, 2020
Carboxymethylcellulose reinforced, double-network hydrogel-based strain sensor with superior sensing stability for
Wang Zhan1, Qi Zhang1, Cuiling Zhang1
1The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Center for Mitochondrial Biology and Medicine, School of Life Science and Technology, State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology, Key Laboratory for Biomedical Testing and High-end Equipment, Xi'an Jiaotong University, Xi'an 710049, Shannxi, PR China.
Abstract:
Hydrogel-based strain sensors have garnered significant attention for their potential for human health monitoring. However, its practical application has been hindered by water loss, freezing, and structural impairment during long-term motion monitoring. Here, a strain sensor based on double-network (DN) hydrogel of polyacrylamide (PAAm)/carboxymethylcellulose (CMC) was developed in a ternary solvent system of lithium chloride (LiCl)/ethylene glycol (EG)/H2O through a facile one-pot radical polymerization strategy. The incorporation of EG effectively mitigated the hydration of lithium salts by generating stable ion clusters with Li+ and stronger hydrogen bonds within the polymer matrix. The sensor demonstrated excellent mechanical properties, including a stretchability of 1858 %, toughness of 1.80 MJ/m3, and recoverability of 102 %. Furthermore, the LiCl/EG/H2O ternary system resulted in high conductivity, excellent anti-freezing performance, and superior sensing stability. In addition, the sensor exhibited remarkable sensitivity, enabling the monitoring of human movements ranging from subtle to significant deformations, including throat motion and bending of the elbow, wrist, finger, and lower limb. This study presents a viable approach for constructing hydrogel-based strain sensors with exceptional sensing stability for long-term tracking of human motions.
