Literature DB >> 34086439

High-Performance Foam-Shaped Strain Sensor Based on Carbon Nanotubes and Ti3C2Tx MXene for the Monitoring of Human Activities.

Hongchen Wang1, Ruicong Zhou1, Donghai Li1, Linrong Zhang1, Guozhang Ren1, Li Wang1, Jinhua Liu1, Deyang Wang2, Zhenhua Tang2, Gang Lu1, Gengzhi Sun1,3, Hai-Dong Yu1,3, Wei Huang1,3.   

Abstract

The flexible strain sensor is of significant importance in wearable electronics, since it can help monitor the physical signals from the human body. Among various strain sensors, the foam-shaped ones have received widespread attention owing to their light weight and gas permeability. However, the working range of these sensors is still not large enough, and the sensitivity needs to be further improved. In this work, we develop a high-performance foam-shaped strain sensor composed of Ti3C2Tx MXene, multiwalled carbon nanotubes (MWCNTs), and thermoplastic polyurethane (TPU). MXene sheets are adsorbed on the surface of a composite foam of MWCNTs and TPU (referred to as TPU/MWCNTs foam), which is prefabricated by using a salt-templating method. The obtained TPU/MWCNTs@MXene foam works effectively as a lightweight, easily processable, and sensitive strain sensor. The TPU/MWCNTs@MXene device can deliver a wide working strain range of ∼100% and an outstanding sensitivity as high as 363 simultaneously, superior to the state-of-the-art foam-shaped strain sensors. Moreover, the composite foam shows an excellent gas permeability and suitable elastic modulus close to those of skin, indicating its being highly comfortable as a wearable sensor. Owing to these advantages, the sensor works effectively in detecting both subtle and large human movements, such as joint motion, finger motion, and vocal cord vibration. In addition, the sensor can be used for gesture recognition, demonstrating its perspective in human-machine interaction. Because of the high sensitivity, wide working range, gas permeability, and suitable modulus, our foam-shaped composite strain sensor may have great potential in the field of flexible and wearable electronics in the near future.

Entities:  

Keywords:  MXene; foam-shaped strain sensor; gas permeability; high sensitivity; large working range

Year:  2021        PMID: 34086439     DOI: 10.1021/acsnano.1c00259

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  6 in total

Review 1.  2D material-based peroxidase-mimicking nanozymes: catalytic mechanisms and bioapplications.

Authors:  Jia Yang; Henghan Dai; Yue Sun; Lumin Wang; Gang Qin; Jinyuan Zhou; Qiang Chen; Gengzhi Sun
Journal:  Anal Bioanal Chem       Date:  2022-03-02       Impact factor: 4.142

2.  Wearable multimode sensor with a seamless integrated structure for recognition of different joint motion states with the assistance of a deep learning algorithm.

Authors:  Lei Wen; Meng Nie; Pengfan Chen; Yu-Na Zhao; Jingcheng Shen; Chongqing Wang; Yuwei Xiong; Kuibo Yin; Litao Sun
Journal:  Microsyst Nanoeng       Date:  2022-02-17       Impact factor: 7.127

3.  An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring.

Authors:  Hao Sun; Xudong Fang; Ziyan Fang; Libo Zhao; Bian Tian; Prateek Verma; Ryutaro Maeda; Zhuangde Jiang
Journal:  Microsyst Nanoeng       Date:  2022-09-29       Impact factor: 8.006

4.  Sensing mechanism of a flexible strain sensor developed directly using electrospun composite nanofiber yarn with ternary carbon nanomaterials.

Authors:  Jian Tang; Yuting Wu; Shidong Ma; Tao Yan; Zhijuan Pan
Journal:  iScience       Date:  2022-09-20

Review 5.  Research Progress on Two-Dimensional Layered MXene/Elastomer Nanocomposites.

Authors:  Hailan Kang; Lishuo Han; Shule Chen; Shuao Xie; Mengjiang Li; Qinghong Fang; Shaojian He
Journal:  Polymers (Basel)       Date:  2022-09-29       Impact factor: 4.967

6.  Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces.

Authors:  Taemin Kim; Yejee Shin; Kyowon Kang; Kiho Kim; Gwanho Kim; Yunsu Byeon; Hwayeon Kim; Yuyan Gao; Jeong Ryong Lee; Geonhui Son; Taeseong Kim; Yohan Jun; Jihyun Kim; Jinyoung Lee; Seyun Um; Yoohwan Kwon; Byung Gwan Son; Myeongki Cho; Mingyu Sang; Jongwoon Shin; Kyubeen Kim; Jungmin Suh; Heekyeong Choi; Seokjun Hong; Huanyu Cheng; Hong-Goo Kang; Dosik Hwang; Ki Jun Yu
Journal:  Nat Commun       Date:  2022-10-03       Impact factor: 17.694

  6 in total

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