Toggle Main Menu Toggle Search

Open Access padlockePrints

Bath Electrospinning of Continuous and Scalable Multifunctional MXene‐Infiltrated Nanoyarns

Lookup NU author(s): Dr Shayan SeyedinORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by Wiley, 2020.

For re-use rights please refer to the publisher's terms and conditions.


Electroactive yarns that are stretchable are desired for many electronic textile applications, including energy storage, soft robotics, and sensing. However, using current methods to produce these yarns, achieving high loadings of electroactive materials and simultaneously demonstrating stretchability is a critical challenge. Here, a one‐step bath electrospinning technique is developed to effectively capture Ti3C2Tx MXene flakes throughout continuous nylon and polyurethane (PU) nanofiber yarns (nanoyarns). With up to ≈90 wt% MXene loading, the resulting MXene/nylon nanoyarns demonstrate high electrical conductivity (up to 1195 S cm−1). By varying the flake size and MXene concentration, nanoyarns achieve stretchability of up to 43% (MXene/nylon) and 263% (MXene/PU). MXene/nylon nanoyarn electrodes offer high specific capacitance in saturated LiClO4 electrolyte (440 F cm−3 at 5 mV s−1), with a wide voltage window of 1.25 V and high rate capability (72% between 5 and 500 mV s−1). As strain sensors, MXene/PU yarns demonstrate a wide sensing range (60% under cyclic stretching), high sensitivity (gauge factor of ≈17 in the range of 20–50% strain), and low drift. Utilizing the stretchability of polymer nanofibers and the electrical and electrochemical properties of MXene, MXene‐based nanoyarns demonstrate potential in a wide range of applications, including stretchable electronics and body movement monitoring.

Publication metadata

Author(s): Levitt A, Seyedin S, Zhang J, Wang X, Razal JM, Dion G, Gogotsi Y

Publication type: Article

Publication status: Published

Journal: Small

Year: 2020

Volume: 16

Issue: 26

Pages: 2002158

Online publication date: 05/06/2020

Acceptance date: 19/04/2020

Date deposited: 07/07/2020

ISSN (print): 1613-6810

ISSN (electronic): 1613-6829

Publisher: Wiley


DOI: 10.1002/smll.202002158


Altmetrics provided by Altmetric