Scalable wet-spun fibers with hierarchical conductive networks toward wearable strain sensors
The development of fiber-based strain sensors with superior strain-sensing performances is fundamentally hindered by the aggregation-driven disruption of conductive networks, and seriously limits their large-scale production. To address the limitation, we introduce a mechanically robust and continuously conductive wet-spun fibers constructed by combination of two parts: (i) dopamine-polystyrene sulfonic acid (DA: PSS)-doped thermoplastic polyurethane (TPU) and (ii) acrylamide-modified single-walled carbon nanotubes (SWCNTs-AM), Ti 3 C 2 T x MXene, and AgNPs. Meanwhile, a cooperative design featuring hierarchical conductive networks and chain-interlocked architecture was presented. Electrostatic interactions and hydrogen bonding within the interpenetrated polymer chains enhance mechanical robustness, yielding a tensile strength of 0.054 MPa, a deformation range exceeding 648 %, and a toughness of 32.87 ± 5 kJ m -3 . The improved charge transport behavior of under dynamic mechanical deformations endowed these conducive fibers with exceptional strain-sensing performances (e.g., high gauge factor (GF = 3048.98)). Notably, they were industrially knitted using a knitting machine to enable comprehensive monitoring of joint movement signals. The resulting knitted fabric demonstrated a rapid response time (45 ms), stable performance under various strains, superior electromagnetic interference (EMI) shielding, and outstanding durability over 6000 cycles at 15 % strain. This paper presents a continuous TPU wet-spun fibers with excellent mechanical robustness and strain-sensing performances based on the hierarchical conductive networks via a wet-spinning technique, which can be knitted into textile fabrics for electromagnetic shielding and wearable sensors. • Illustration of the fabrication of DCTM-Ag wet-spun fibers by a scalable wet-spinning technique. • The construction of hierarchical conductive networks based on the interfacial dynamic interactions between conductive nanomaterials. • Prominent motion capability of as-proposed knitted sensors with electromagnetic and sensing properties.
Authors
- Pibo Ma
- Jiwei Huang (ORCID: https://orcid.org/0000-0001-8162-6467)
- Saining Liu (ORCID: https://orcid.org/0000-0001-5667-3325)
- Wane Ning
- Haitao Lin
- Hao Qin
- Shuqiang Zhao
Institutions
- University College Dublin (IE)
- Jiangnan University (CN)
- Guangxi University of Science and Technology (CN)
- Victoria University of Wellington (NZ)
- The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Polymer Testing
- Published
- 2026-03-05
- DOI
- https://doi.org/10.1016/j.polymertesting.2026.109133
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00