A Facile Strategy for Textile‐Based Highly Sensitive and Water‐Resistant Triboelectric Nanogenerator
The demand for real-time physiological monitoring drives innovation in triboelectric nanogenerators (TENGs). TENGs offer promise for real-time dynamic monitoring, but they are often complicated to manufacture, have low sensitivity, and are easily disturbed by ambient humidity. Herein, a fabric-based integrated triboelectric nanogenerator (F-TENG) is developed, employing waterborne polyurethane (WPU) as both a water-resistant encapsulation and friction layer, and polypyrrole (PPy) as a friction and conductive layer. This design simplifies the fabrication process while simultaneously improving the device's resistance to environmental factors. The micro-filament structure enables localized contact-separation during deformation, initiating the triboelectric effect, while the 3D architecture amplifies local strain, further enhancing sensitivity to weak signals. F-TENG demonstrates effective voltage output during carotid and respiratory monitoring, highlighting its capability to detect subtle physiological signals. Furthermore, F-TENG maintains stable performance under humid conditions, retaining 78.78% of its output voltage as relative humidity increased from 20% to 80%. When implants in the moist environment of a rat's leg, F-TENG exhibits a notable output of 21 V. In addition, the inherent antibacterial properties of F-TENG further enhance its application potential. These findings position F-TENG as a robust and versatile platform for dynamic monitoring, wearable electronics, and integrated diagnostic and therapeutic systems.
Authors
- Zhengquan Li (ORCID: https://orcid.org/0000-0002-0084-5113)
- Xiaohong Qin (ORCID: https://orcid.org/0000-0003-4663-903X)
- Anhui Shi
- Hongnan Zhang (ORCID: https://orcid.org/0000-0001-5826-0989)
- Ligang Jiang
- Wei Sun (ORCID: https://orcid.org/0000-0003-0504-3707)
- Bin Luo (ORCID: https://orcid.org/0009-0006-1768-1529)
- Wenjing Chen (ORCID: https://orcid.org/0009-0004-6196-0467)
- Shilong Wang (ORCID: https://orcid.org/0000-0001-6086-0481)
- Wendi Liu (ORCID: https://orcid.org/0000-0001-6079-2802)
Institutions
- University of Massachusetts Lowell (US)
- Donghua University (CN)
- Wenzhou Medical University (CN)
- Quzhou City People's Hospital (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1002/adma.202420459
- Citations
- 24
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 16.18
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Basic Public Welfare Research Program of Zhejiang Province