Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/137300
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Type: Journal article
Title: Graphene woven fabric-polydimethylsiloxane piezoresistive films for smart multi-stimuli responses
Author: Tung, T.T.
Tran, M.T.
Pereira, A.L.C.
Cordeiro, C.M.B.
Nguyen, D.D.
Tai, N.-H.
Tran, V.V.
Hsu, C.-C.
Joshi, P.
Yoshimura, M.
Feller, J.F.
Castro, M.
Hassan, K.
Nine, M.J.
Stanley, N.
Losic, D.
Cardoso Pereira, A.
Citation: Colloids and Surfaces B: Biointerfaces, 2022; 221:112940-112940
Publisher: Elsevier BV
Issue Date: 2022
ISSN: 0927-7765
1873-4367
Statement of
Responsibility: 
Tran T. Tung, Manh T. Tran, Ana L.C. Pereira, Cristiano M.B. Cordeiro, Duc D. Nguyen, Nyan-Hwa Tai, Van V. Tran, Chia-Chen Hsu, Prerna Joshi, Masamichi Yoshimura, Jean F. Feller, Mickael Castro, Kamul Hassan, Md J. Nine, Nathan Stanley, Dusan Losic
Abstract: The outstanding properties of graphene, including its electromechanical property, could be engineered for wearable electronic sensor platforms. The tubular graphene weaved into a mesh or graphene woven fabrics (GWF) has been reported as one of the most sensitive materials for deformation detection, as well as a promising temperature sensor. Herein, we present the performance of our developed flexible, stretchable, and multiple sensitive sensors fabricated from GWF embedded in polydimethylsiloxane (PDMS) film substrate. The GWF/ PDMS sensor shows a pressure sensitivity of 0.0142 kPa–¹ in a wide linearity range of 0–20 kPa, an outstanding Gauge factor (GF) of 582 at a strain of 6.2 %, and a very high positive sensitivity of 0.0238 ◦C–¹ in the temperature range of 25–80 ◦C. A practical application as a high sensitivity air pressure sensor able to measure low pressures (in the range of Pa to kPa) was also demonstrated. This sensor platform having desirable performance characteristics is an excellent candidate for wearable devices in the healthcare sector.
Keywords: Graphene mesh; Graphene woven fabric; Graphene sensor; Piezo-resistive sensor; Graphene multiple sensor
Rights: © 2022 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.colsurfb.2022.112940
Grant ID: http://purl.org/au-research/grants/arc/NS210100245
Published version: http://dx.doi.org/10.1016/j.colsurfb.2022.112940
Appears in Collections:Chemical Engineering publications

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