ACS Applied Polymer Materials· 2026Q1
Freezing-Tolerant and Stretchable Organohydrogels for Triboelectric Nanogenerators and Strain Sensors
- 0citations
- Q1SCImago
- 2026year
Short summary
New PVA/PAM/NaCl (PPN) organohydrogels achieve 2320% stretchability and maintain performance at -20°C, enabling high-gauge-factor strain sensors (GF=26.608) and power-generating triboelectric nanogenerators (0.5 W/m²).
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Key points
- Developed stretchable (2320%) and antifreezing PVA/PAM/NaCl (PPN) organohydrogels.
- PPN organohydrogels maintain performance at -20°C with high ionic conductivity (5.5 S/m).
- Used as a strain sensor with an ultrahigh gauge factor of 26.608 for human motion monitoring.
- Applied as an electrode in a triboelectric nanogenerator, reaching a maximum power density of 0.5 W/m².
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract The rapid advancement of wearable electronics necessitates the development of flexible, durable, and environmentally stable energy and sensing materials. However, conventional hydrogels often suffer from poor mechanical robustness, rapid dehydration, and freezing at subzero temperatures, severely limiting their practical applications. In this work, we fabricate highly stretchable and antifreezing PVA/PAM/NaCl (PPN) organohydrogels by integrating a double-network structure with NaCl doping and glycerol treatment. The resulting PPN organohydrogels exhibit exceptional stretchability (2320%), high ionic conductivity (5.5 S/m), and remarkable long-term environmental stability (only 12% mass loss after 30 days). Furthermore, it maintains excellent mechanical and electrical performance at −20 °C, effectively suppressing ice formation. We demonstrate its versatility by utilizing the PPN organohydrogel in two key applications: (1) as a strain sensor with an ultrahigh gauge factor (GF = 26.608) for monitoring human motion, including subtle pulse signals; (2) as the electrode in a triboelectric nanogenerator (VMO-TENG), achieving a maximum power density of 0.5 W/m2. Moreover, by integrating the sensor with a genetic algorithm-optimized backpropagation neural network (GABP), we realize a high-accuracy gesture recognition system. This study provides a facile strategy for developing robust flexible electronics suitable for extreme environments and intelligent human–machine interaction.
The authors' abstract, as published at the source. ACS Applied Polymer Materials, 2026 · DOI ↗
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