Issue 41, 2023

A multifunctional flexible strain sensor based on an excellent sensing performance PDMS-MXene@CNT/TPU nanofiber membrane with hydrophobic and photothermal conversion performance

Abstract

Flexible strain sensors have gained significant attention as wearable electronic devices because of their adaptability and versatility. Developing high-performance flexible strain sensors with hydrophobic and photothermal properties is a promising avenue for fabricating smart wearable electronic devices. In this study, MXene and carbon nanotubes (CNTs) were coated on a thermoplastic polyurethane (TPU) nanofiber membrane using ultrasonic dipping and spraying strategies. Flexible strain sensors with hydrophobic properties were obtained by encapsulation of the membrane with polydimethylsiloxane (PDMS). The PDMS-MXene@CNT/TPU nanofiber membrane-based flexible strain sensor demonstrated exceptional performance, exhibiting exceedingly low detection limits (0.05%), a rapid response time (70 ms), high sensitivity (GF = 11 393), and exceptional stability (2000 cycles under 30% strain) and durability under stretch-release testing. Additionally, the sensor maintained hydrophobic performance, as evidenced by a water contact angle of 117°. The outstanding sensing performance of the sensor makes it highly adaptable for various smart wearable electronic applications in monitoring human motion and health status; in addition, its photothermal and hydrophobic properties enhance its suitability for deployment in humid and cold environments.

Graphical abstract: A multifunctional flexible strain sensor based on an excellent sensing performance PDMS-MXene@CNT/TPU nanofiber membrane with hydrophobic and photothermal conversion performance

Article information

Article type
Paper
Submitted
03 Jul 2023
Accepted
21 Aug 2023
First published
24 Aug 2023

New J. Chem., 2023,47, 19265-19275

A multifunctional flexible strain sensor based on an excellent sensing performance PDMS-MXene@CNT/TPU nanofiber membrane with hydrophobic and photothermal conversion performance

J. Xiao, J. He, W. Wang, M. Chen and R. Guo, New J. Chem., 2023, 47, 19265 DOI: 10.1039/D3NJ03088A

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