Drawing Highly Ordered MXene Fibers from Dynamically Aggregated HydrogelsShow others and affiliations
2024 (English)In: Nano Reseach, ISSN 1998-0124, E-ISSN 1998-0000, Vol. 17, p. 9815-9821Article in journal (Refereed) Published
Abstract [en]
Assembly of two-dimensional (2D) nanomaterials into well-organized architectures is pivotal for controlling their function and enhancing performance. As a promising class of 2D nanomaterials, MXene have attracted significant interest for use in wearable electronics due to their unique electrical and mechanical properties. However, facile approaches for fabricating MXenes into macroscopic fibers with controllable structures are limited. In this study, we present a strategy for easily spinning MXene fibers by incorporating polyanions. The introduction of poly(acrylic acid) (PAA) into MXene colloids has been found to alter MXene aggregation behavior, resulting in a reduced concentration threshold for lyotropic liquid crystal phase. This modification also enhances the viscosity and shear sensitivity of MXene colloids. Consequently, we were able to draw continuous fibers directly from the gel of MXene aggregated with PAA. These fibers exhibit homogeneous diameter and high alignment of MXene nanosheets, attributed to the shear-induced long-range order of the liquid crystal phase. Furthermore, we demonstrate proof-of-concept applications of the ordered MXene fibers, including textile-based supercapacitor, sensor, and electrical thermal management, highlighting their great potential applied in wearable electronics. This work provides a guideline for processing 2D materials into controllable hierarchical structures by regulating aggregation behavior through the addition of ionic polymers.
Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 17, p. 9815-9821
National Category
Nano Technology
Research subject
Engineering Science with specialization in Nanotechnology and Functional Materials
Identifiers
URN: urn:nbn:se:uu:diva-535696DOI: 10.1007/s12274-024-6930-9ISI: 001298793200003Scopus ID: 2-s2.0-85202182219OAI: oai:DiVA.org:uu-535696DiVA, id: diva2:1887147
2024-08-072024-08-072025-11-24Bibliographically approved