Mussel‐Inspired Highly Sensitive, Stretchable, and Self‐Healable Yarns Enabled by Dual Conductive Pathways and Encapsulation for Wearable Electronics
Abstract Wearable electronic textiles, capable of detecting human motions and recognizing gestures, represent the forefront of personalized electronics. However, the integration of high stretchability, sensitivity, durability, and self‐healable/self‐bondable capabilities into one platform remains challenging. Herein, mussel‐inspired stretchable, sensitive, and self‐healable/self‐bonded conductive yarns enabled by dual electron transfer pathways and dual encapsulation technology are presented. Specifically, covered spandex yarns provide the necessary stretchability and adsorption capacity, while supramolecular polydopamine layer affords enhanced interfacial interactions. Reduced graphene oxide nanosheets and silver nanoparticle‐based sensing layers offer dual electron transfer pathways. Dual encapsulations with self‐healable/self‐bondable ability not only mitigate the crack propagation but also protect inner conductive materials from detachment. Benefiting from these rational designs, the composite yarns exhibit a large sensing range (158% strain), high sensitivity (22.88), low detection limit (0.0345%), fast response/recovery times (105/150 ms), and remarkable robustness (enduring 10 000 cycles at 20% strain). Furthermore, pressure sensors and sensing arrays are assembled by stacking conductive yarns perpendicularly using a self‐bondable function, and self‐healable helical‐structured conductors are fabricated through the shape‐memory effect. Important applications of multifunctional yarns in physiological motion detection, gesture recognition, and circuit connection are demonstrated. This concept creates opportunities for the construction of multifunctional and high‐performance wearable electronic textiles.
Authors
- Songfang Zhao (ORCID: https://orcid.org/0000-0001-5498-1703)
- Yunlong Zhou (ORCID: https://orcid.org/0000-0001-5654-1170)
- Anh Tuan Hoang (ORCID: https://orcid.org/0000-0002-1767-8040)
- Yuekun Lai (ORCID: https://orcid.org/0000-0003-4100-510X)
- Duxia Cao (ORCID: https://orcid.org/0000-0002-9452-4045)
- Yongju Gao
- Meili Xia
- Jong‐Hyun Ahn (ORCID: https://orcid.org/0000-0002-8135-7719)
- Guoqiang Li (ORCID: https://orcid.org/0000-0002-7004-6659)
- Yang Li (ORCID: https://orcid.org/0000-0001-5260-5157)
- Guolin Li (ORCID: https://orcid.org/0000-0001-9934-4230)
- Yongjing Zhang (ORCID: https://orcid.org/0009-0004-4284-8138)
Institutions
- Shandong University (CN)
- Yonsei University (KR)
- University of Jinan (CN)
- Institute of Scientific and Technical Information (CN)
- Fuzhou University (CN)
- Stanford University (US)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1002/adfm.202412461
- Citations
- 11
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 7.42
Funders
- National Research Foundation
- National Natural Science Foundation of China
- National Research Foundation of Korea
- Natural Science Foundation of Shandong Province
- National Key Research and Development Program of China