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.

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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
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article

Scalable wet-spun fibers with hierarchical conductive networks toward wearable strain sensors

Pibo Ma, Jiwei Huang, Saining Liu, Wane Ning et al.
Polymer Testing
Advanced Sensor and Energy Harvesting Materials
article

Scalable wet-spun fibers with hierarchical conductive networks toward wearable strain sensors

Pibo Ma, Jiwei Huang, Saining Liu, Wane Ning, Haitao Lin, Hao Qin, Shuqiang Zhao
article en

Abstract

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.

Polymer TestingVol. 157
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)
Affordable and clean energy
Openalex Percentile: Top 34%
Advanced Sensor and Energy Harvesting Materials
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