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      MXenes stretch hydrogel sensor performance to new limits

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          Abstract

          We developed stretchable and self-healable MXene hydrogel that can sense complex motions without multiple sensor arrays.

          Abstract

          The development of wearable electronics, point-of-care testing, and soft robotics requires strain sensors that are highly sensitive, stretchable, capable of adhering conformably to arbitrary and complex surfaces, and preferably self-healable. Conductive hydrogels hold great promise as sensing materials for these applications. However, their sensitivities are generally low, and they suffer from signal hysteresis and fluctuation due to their viscoelastic property, which can compromise their sensing performance. We demonstrate that hydrogel composites incorporating MXene (Ti 3C 2T x ) outperform all reported hydrogels for strain sensors. The obtained composite hydrogel [MXene-based hydrogel (M-hydrogel)] exhibits outstanding tensile strain sensitivity with a gauge factor (GF) of 25, which is 10 times higher than that of pristine hydrogel. Furthermore, the M-hydrogel exhibits remarkable stretchability of more than 3400%, an instantaneous self-healing ability, excellent conformability, and adhesiveness to various surfaces, including human skin. The M-hydrogel composite exhibits much higher sensitivity under compressive strains (GF of 80) than under tensile strains. We exploit this asymmetrical strain sensitivity coupled with viscous deformation (self-recoverable residual deformation) to add new dimensions to the sensing capability of hydrogels. Consequently, both the direction and speed of motions on the hydrogel surface can be detected conveniently. Based on this effect, M-hydrogel demonstrates superior sensing performance in advanced sensing applications. Thus, the traditionally disadvantageous viscoelastic property of hydrogels can be transformed into an advantage for sensing, which reveals prospects for hydrogel sensors.

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          Most cited references27

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          Guidelines for Synthesis and Processing of Two-Dimensional Titanium Carbide (Ti3C2Tx MXene)

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            Ultra-high-rate pseudocapacitive energy storage in two-dimensional transition metal carbides

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              Embedded 3D printing of strain sensors within highly stretchable elastomers.

              A new method, embedded-3D printing (e-3DP), is reported for fabricating strain sensors within highly conformal and extensible elastomeric matrices. e-3DP allows soft sensors to be created in nearly arbitrary planar and 3D motifs in a highly programmable and seamless manner. Several embodiments are demonstrated and sensor performance is characterized. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                June 2018
                15 June 2018
                : 4
                : 6
                : eaat0098
                Affiliations
                [1 ]Physical Sciences and Engineering Division, Materials Science and Engineering Deparment, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.
                [2 ]KAUST, Imaging and Characterization Core Lab, Thuwal 23955-6900, Kingdom of Saudi Arabia.
                Author notes
                [*]

                These authors contributed equally to this work.

                []Corresponding author. Email: husam.alshareef@ 123456kaust.edu.sa
                Author information
                http://orcid.org/0000-0001-9154-0085
                http://orcid.org/0000-0002-6859-711X
                http://orcid.org/0000-0001-6476-1886
                http://orcid.org/0000-0001-5029-2142
                Article
                aat0098
                10.1126/sciadv.aat0098
                6003726
                29922718
                c9f267d8-4f14-4a7a-880e-bb3c5295e7a7
                Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 15 January 2018
                : 01 May 2018
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100004052, King Abdullah University of Science and Technology;
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Materials Science
                Physical Sciences
                Materials Science
                Custom metadata
                Rochelle Abragante

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