Coaxial spinning of Ti3C2TX MXene fibers with spontaneous radial densification achieves simultaneous improvements in both mechanical strength and charge storage ability

Abstract

Ti3C2TX MXene has good mechanical strength, metallic conductivity and ultrahigh volumetric capacitance and is a promising candidate for developing advanced fibers for applications in fibrous supercapacitors (FSCs); however, the weak interlayer interaction, random stacking during coagulation and unsuitable channels for ion transport impose crucial difficulties in the continuous spinning of strong MXene fibers with desirable charge storage ability. Herein, we propose a coaxial spinning strategy accompanied by spontaneous radial densification for the simultaneous achievement of improved fiber mechanical strength and charge storage capability. The intercalation of sodium alginate (SA) in the core (S/M) expands the interlayer spacing and produces suitable paths for ion diffusion, while the presence of a SA/graphene oxide (S/G) sheath generates radial compression during dehydration because of capillary forces, enhances stress transfer within the fiber, and avoids short circuit in the FSC. The optimized S/M@S/G fiber exhibits a tensile strength of 238 MPa and a volumetric capacitance of 906 F cm−3 at 1 A cm−3. The assembled FSCs provide a capacitance of 153 F cm−3 together with an energy density of 13.6 mWh cm−3. Notably, owing to the improved mechanical properties, FSCs can be woven into gloves and provide power for an electronic watch.

Graphical abstract: Coaxial spinning of Ti3C2TX MXene fibers with spontaneous radial densification achieves simultaneous improvements in both mechanical strength and charge storage ability

Supplementary files

Article information

Article type
Paper
Submitted
24 Sep 2025
Accepted
16 Dec 2025
First published
15 Jan 2026

Nanoscale, 2026, Advance Article

Coaxial spinning of Ti3C2TX MXene fibers with spontaneous radial densification achieves simultaneous improvements in both mechanical strength and charge storage ability

F. Shi, H. Dai, N. He, Y. Guo, Y. Shen, H. Wang, H. Xu, Y. Wang and G. Sun, Nanoscale, 2026, Advance Article , DOI: 10.1039/D5NR04025F

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