Literature DB >> 31184472

Direct Current-Powered High-Performance Ionic Hydrogel Strain Sensor Based on Electrochemical Redox Reaction.

Wenxin Fan1, Xiaohui Zhang1, Huilin Cui1, Chunzhao Liu1, Yanhui Li1, Yanzhi Xia1, Kunyan Sui1.   

Abstract

Ionic hydrogel-based resistance strain sensors (IRS-sensors) powered by direct current (dc) enable various wearable applications. However, the unclear signal transmission mechanism causes significant difficulty to solve the problem of their weak detection ability for subtle strain changes. Here, we have conducted a combined theoretical and experimental study to demonstrate that the signal transmission of dc-powered IRS-sensors is determined by the electrochemical redox process. The slow H+ reduction rate and chemical component change within the hydrogel account for their low sensitivity and signal-to-noise ratio (SNR). To address such a challenge, we have introduced Cu2+ into the hydrogels to enhance the cathodic reduction rate and the chemical stability of the IRS-sensors. The as-prepared IRS-sensors show high sensitivity, ultrahigh SNR, and excellent sensing reliability. Besides the inherent ultrawide sensing range (>1500%), the IRS-sensor can also provide recognizable electrical responses to the incredibly small strain (0.005%), which is 2 orders of magnitude lower than previous ones. They demonstrate precise and reliable monitoring for full-range human activities. This new strategy can be easily extended to other ionic hydrogels and electrodes as well as self-driving electrochemical electrodes for the fabrication of various high-performance self-powered IRS-sensors.

Entities:  

Keywords:  electrochemical redox reaction; ionic hydrogel; resolution; signal-to-noise ratio; strain sensor

Year:  2019        PMID: 31184472     DOI: 10.1021/acsami.9b06523

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

1.  Highly Stretchable and Sensitive Flexible Strain Sensor Based on Fe NWs/Graphene/PEDOT:PSS with a Porous Structure.

Authors:  Ping'an Yang; Sha Xiang; Rui Li; Haibo Ruan; Dachao Chen; Zhihao Zhou; Xin Huang; Zhongbang Liu
Journal:  Int J Mol Sci       Date:  2022-08-10       Impact factor: 6.208

  1 in total

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