Cellulose hierarchical sponge-aerogel fibers via ionic liquid-assisted coaxial wet spinning: lightweight architectures for gas detection and adaptive thermal management

Abstract

The development of cellulose-based aerogel fibers integrating exceptional mechanical robustness with multi-functionality remains crucial yet challenging for advancing next-generation smart textiles in wearable applications. This study presents an innovative ionic liquid-assisted coaxial wet-spinning approach that enables continuous, scalable production of hierarchically structured cellulose-based composite fibers with a heterogeneous porous structure (MPC&C sponge-aerogel fibers) and systematically investigates the effect of spinning parameters on the structure of the obtained fiber. The heterogeneous porous structure and the MXene/PANI functional material in the sheath layer provide the MPC&C sponge-aerogel fiber with remarkable performance metrics: high tensile strength (2.5 MPa), exceptional NH3 sensing response (324% at 100 ppm), and outstanding thermal insulation properties (thermal conductivity 0.064 W m−1 K−1). These synergistic characteristics originate from the unique combination of hierarchical porosity and conductive nanomaterial incorporation, enabling dual-mode functionality in intelligent wearable systems for environmental monitoring and personal thermal management. Our scalable fabrication strategy establishes a new paradigm for developing multifunctional aerogel fibers with practical potential in advanced textile applications.

Graphical abstract: Cellulose hierarchical sponge-aerogel fibers via ionic liquid-assisted coaxial wet spinning: lightweight architectures for gas detection and adaptive thermal management

Supplementary files

Article information

Article type
Paper
Submitted
09 Mar 2025
Accepted
17 Jun 2025
First published
27 Jun 2025

J. Mater. Chem. A, 2025, Advance Article

Cellulose hierarchical sponge-aerogel fibers via ionic liquid-assisted coaxial wet spinning: lightweight architectures for gas detection and adaptive thermal management

J. Huang, H. Wu and Z. Su, J. Mater. Chem. A, 2025, Advance Article , DOI: 10.1039/D5TA01915J

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