Ultrastretchable, Highly Transparent, Self-Adhesive, and 3D-Printable Ionic Hydrogels for Multimode Tactical Sensing

Wei, Hua, Wang, Zhenwu, Zhang, Hua, Huang, Youju, Wang, Zongbao, Zhou, Yang, Xu, Ben Bin, Halila, Sami and Chen, Jing (2021) Ultrastretchable, Highly Transparent, Self-Adhesive, and 3D-Printable Ionic Hydrogels for Multimode Tactical Sensing. Chemistry of Materials, 33 (17). pp. 6731-6742. ISSN 0897-4756

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Official URL: https://doi.org/10.1021/acs.chemmater.1c01246


Ionic gel-based electronic devices are essential in future healthcare/biomedical applications, such as advanced diagnostics, therapeutics, physiotherapy, etc. However, considerable efforts have been devoted to integrating ultrahigh stretchability, transparency, self-adhesion, and a low-cost manufacturing process in one material for dealing with a variety of application scenarios in the real world. Here, we describe an ionically conductive hydrogel-based electronic technology by introducing charge-rich polyzwitterions into a natural polysaccharide network. The proposed hydrogel possesses ultrahigh stretchability (975%), unique optical transmittance (96.2%), and universal conformal adhesion. The bionic hydrogel electronic devices possess superior dual force/temperature sensation with high sensitivity. Moreover, we develop dedicated sensor arrays via an additive manufacturing route and demonstrate the feasibility of monitoring physical activity or analyzing the mental state of a human body based on the multichannel signal acquisition of joint bending, pulse, vocal-cord vibration, electroencephalogram, eye movement, body temperature, etc. This all-in-one strategy based on a versatile ionic hydrogel electronic platform is anticipated to open up new tactical sensing applications in smart robotics, human–machine interfaces, and wearable monitoring systems.

Item Type: Article
Additional Information: Funding information: This work was supported by the National Natural Science Foundation of China (51803227, 22007090, 51873222, 52111530128), Natural Science Foundation of Zhejiang Province (LQ19E030006, LQ19E030010), S&T Innovation 2025 Major Special Program of Ningbo (2019B10063, 2020Z091), CAS President’s International Fellowship for Visiting Scientists (2019VBA0016), the Funding for the Scientific Research Start-up of Hangzhou Normal University (4095C5021920452), the Key Research and Development Projects of Anhui Province (202004g01020016, 202104g01020009), and the Engineering and Physical Sciences Research Council (EPSRC) grant-EP/N007921/1. H.W. acknowledges her parents as volunteers for the measurement of physiological signals. J.C. is indebted to Prof. Yen Wei (Tsinghua University) and Prof. Jun Fu (Sun Yat-sen University) for the discussion, and Dr. Changcheng Shi (CAS) and Baoliang Feng (CAS) for the assistance in the EEG experiments.
Subjects: F200 Materials Science
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 26 Jul 2021 11:36
Last Modified: 03 Aug 2022 03:31
URI: http://nrl.northumbria.ac.uk/id/eprint/46756

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