Multifunctional MXene@ Polyester Woven Fabrics with Enhanced Mechanical and Electrical Properties for Decoding Environmental Signals
A booming demand for wearable liquid environmental signal monitoring systems urges the development of smart fabrics. However, it is still a challenge to fabricate multifunctional smart fabrics with excellent mechanical properties, comfortable wearing, and satisfactory antiwrinkle capabilities. Herein, a MXene@ polyester liquid response sensor is fabricated by depositing MXene onto a polyester/copper/nickel composited woven fabric. With this structure, the MXene@ polyester sensor could quickly detect a weak liquid environmental signal, and the SEM and FITR analyses showed that MXene has been successfully coated on the surface, and a stable composite conductive network was formed. From the electronic testing, these 4 conductive fabrics with the different folding angles of 0°, 45°, 90°, and 135° showed the individual resistances, and fabric 1# coated with 0.5% MXene exhibited the steepest slope and the lowest resistance, while fabric 3# coated with 2% MXene had the highest resistance. For simulation of sweat and wet conditions, the fabric resistance showed significant fluctuation and deviation from expected changes after wetting. The 3# fabric with a 2% MXene coating achieved complete wetting and stable resistance, remaining unaffected by environmental changes while sensing human signals. The MXene@polyester woven fabrics’ improved mechanical and electrical properties provide potential application ideas for decoding environmental signals.
Authors
- Xin He (ORCID: https://orcid.org/0000-0002-3582-8890)
- Shaoju Fu
- Hui Wang
- Zhanwei Sun
- Chenyang Xia
- Hao Xue
- Gaoyong Zhu
Institutions
- Donghua University (CN)
- China University of Mining and Technology (CN)
- Jiaxing University (CN)
- Frontier Science Foundation (CH)
- Frontier Advanced Technology (China) (CN)
- Intelligent Health (United Kingdom) (GB)
Publication Details
- Journal
- ACS Applied Polymer Materials
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1021/acsapm.5c03822
- Citations
- 1
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 21.28