The rapid advancement of human-machine interaction (HMI) systems and wearable electronics has created an urgent demand for flexible sensing materials. However, ensuring these materials possess the superior fatigue resistance required to withstand long-term cyclic loading without breaking down has remained a formidable challenge.
Now, a team of material scientists from Ludong University in China has addressed this thermodynamic barrier by developing a highly fatigue-resistant "eutectogel." Their findings were published in Nano Research on July 24, 2026.
The breakthrough relies on a process called "nanocavitation"—a toughening mechanism that is widely applied in elastomers and filled rubbers but is incredibly difficult to trigger in water-based hydrogels. By replacing the water medium with a deep eutectic solvent (DES), the researchers were able to uniformly disperse silica nanoparticles within the gel matrix and construct reversible dynamic interfacial bonds. Under mechanical stress, these nanoparticles reversibly separate from the polymer chains, creating transient nanoscale voids (cavitation) that safely dissipate massive strain energy and stop cracks from spreading.
"This design enables the material to actively trigger nanoscale cavitation under stress to dissipate energy, thereby endowing the gel with crack resistance and fatigue stability far superior to conventional hydrogels," said Wenlong Xu, corresponding author and researcher at the School of Materials Science and Engineering at Ludong University.
Leveraging the exceptional durability and mechanical stability of this eutectogel, the team constructed a triboelectric nanogenerator (TENG) smart glove capable of capturing dynamic hand gestures. When the wearer bends their fingers, the flexible sensors generate real-time voltage response signals corresponding to the exact degree of deformation.
To translate these complex gestures into meaningful communication, the researchers paired the glove with a Long Short-Term Memory (LSTM) deep learning algorithm. The system accurately extracts discriminative temporal features from the hand movements, successfully recognizing gestures representing the 26 letters of the English alphabet.
"Integrated with LSTM, the triboelectric smart glove realizes 99.9% accurate real-time sign language recognition," Xu noted. This provides an efficient and portable solution to help eliminate communication barriers between hearing-impaired and hearing individuals.
The research team hopes this cavitation-toughening strategy will establish a new theoretical foundation for developing the next generation of highly durable soft electronic devices. Future applications could extend beyond sign language translation into broader high-precision assistive interaction and intelligent robotics.
Other contributors include Delong Han, Xiuyan Zhang, Lunan Zhao, and Jiahao Wang from the School of Materials Science and Engineering at Ludong University.
This work was financially supported by the National Natural Science Foundation of China (22472073) and the Youth Innovation Technology Support Program of Universities in Shandong Province (2023KJ213).
DOI Link:
https://doi.org/10.26599/NR.2026.94908909
About Nano Research
Nano Research is a peer-reviewed, open access, international and interdisciplinary research journal, sponsored by Tsinghua University and the Chinese Chemical Society, published by Tsinghua University Press on the platform SciOpen. It publishes original high-quality research and significant review articles on all aspects of nanoscience and nanotechnology, ranging from basic aspects of the science of nanoscale materials to practical applications of such materials. After 18 years of development, it has become one of the most influential academic journals in the nano field. Nano Research has published more than 1,000 papers every year from 2022, with its cumulative count surpassing 8,000 articles. In 2025 InCites Journal Citation Reports, its 2025 IF is 9.4 (8.3, 5 years), and it continues to be the Q1 area among the four subject classifications. Nano Research Award, established by Nano Research together with TUP and Springer Nature in 2013, and Nano Research Young Innovators (NR45) Awards, established by Nano Research in 2018, have become international academic awards with global influence.
