Highly Elastic, Fatigue-Resistant, and Antifreezing MXene Functionalized Organohydrogels as Flexible Pressure Sensors for Human Motion Monitoring
Conductive organohydrogels-based flexible pressure sensors have gained considerable attention in health monitoring, artificial skin, and human-computer interaction due to their excellent biocompatibility, wearability, and versatility. However, hydrogels' unsatisfactory mechanical and unstable electrical properties hinder their comprehensive application. Herein, an elastic, fatigue-resistant, and antifreezing poly(vinyl alcohol) (PVA)/lipoic acid (LA) organohydrogel with a double-network structure and reversible cross-linking interactions has been designed, and MXene as a conductive filler is functionalized into organohydrogel to further enhance the diverse sensing performance of flexible pressure sensors. The as-fabricated MXene-based PVA/LA organohydrogels (PLBM) exhibit stable fatigue resistance for over 450 cycles under 40% compressive strain, excellent elasticity, antifreezing properties (<-20 °C), and degradability. Furthermore, the pressure sensors based on the PLBM organohydrogels show a fast response time (62 ms), high sensitivity (<i>S</i> = 0.0402 kPa<sup>-1</sup>), and excellent stability (over 1000 cycles). The exceptional performance enables the sensors to monitor human movements, such as joint flexion and throat swallowing. Moreover, the sensors integrating with the one-dimensional convolutional neural networks and the long-short-term memory networks deep learning algorithms have been developed to recognize letters with a 93.75% accuracy, representing enormous potential in monitoring human motion and human-computer interaction.
Authors
- Zhigang Zhu (ORCID: https://orcid.org/0000-0002-0911-179X)
- Zhanhong Li (ORCID: https://orcid.org/0000-0002-3552-7545)
- Yutong Han (ORCID: https://orcid.org/0000-0003-3726-6315)
- Haozhe Zhuang
- Huina Cao
- Zifeng Wang (ORCID: https://orcid.org/0000-0001-6792-0117)
- Yuzhong Cao (ORCID: https://orcid.org/0009-0004-9070-7428)
- Yu Yao (ORCID: https://orcid.org/0000-0002-7183-1106)
Institutions
- University of Shanghai for Science and Technology (CN)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1021/acsami.4c12852
- Citations
- 16
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 2.95
Funders
- National Natural Science Foundation of China