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Research Article

Reliable sensors based on graphene textile with negative resistance variation in three dimensions

Wenpeng Han1( )Yijun Wu1He Gong1Linxin Liu1Junxiang Yan1,3Mengfei Li1Yunze Long1( )Guozhen Shen2( )
College of Physics, Qingdao University, Qingdao 266071, China
State Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
Beijing National Laboratory for Condensed Matter physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
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Abstract

The weft-knitted reduced graphene oxide (r-GO) textile that is made up of many conductive r-GO coated fibers was successfully prepared dependent on the electrospray deposition technique. Interestingly, the r-GO textile presents negative resistance variation not only in axial direction as the pressure increases but also in transverse direction as the lateral stretch increases which makes it has the advantage to fabricate the reliable sensors based on strain-resistance effect. The transverse-strain and pressure sensors based on the r-GO textiles all show the excellent sensing characteristics such as high sensitivity, reliability, and good durability, etc. The maximum gauge factors (GF) of the transverse-sensor are 27.1 and 153.5 in the x- and y-direction, respectively. And the practical detection range can up to 40% in the x-direction and 35% in the y-direction, respectively. The r-GO textile pressure sensor also shows high sensitivity for a broad pressure range that with a GF up to 716.8 kPa-1 for less than 4.5 kPa region and still has more sensitive pressure sensing characteristics even the pressure goes up to 14 kPa. Based on those good performances of r-GO textile sensors, its potential applications in human body states monitoring have been studied.

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Nano Research
Pages 2810-2818

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Cite this article:
Han W, Wu Y, Gong H, et al. Reliable sensors based on graphene textile with negative resistance variation in three dimensions. Nano Research, 2021, 14(8): 2810-2818. https://doi.org/10.1007/s12274-021-3291-5
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Received: 11 November 2020
Revised: 02 December 2020
Accepted: 08 December 2020
Published: 25 February 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021