Literature DB >> 29616263

Lightweight, compressible and electrically conductive polyurethane sponges coated with synergistic multiwalled carbon nanotubes and graphene for piezoresistive sensors.

Zhonglei Ma1, Ajing Wei, Jianzhong Ma, Liang Shao, Huie Jiang, Diandian Dong, Zhanyou Ji, Qian Wang, Songlei Kang.   

Abstract

Lightweight, compressible and highly sensitive pressure/strain sensing materials are highly desirable for the development of health monitoring, wearable devices and artificial intelligence. Herein, a very simple, low-cost and solution-based approach is presented to fabricate versatile piezoresistive sensors based on conductive polyurethane (PU) sponges coated with synergistic multiwalled carbon nanotubes (MWCNTs) and graphene. These sensor materials are fabricated by convenient dip-coating layer-by-layer (LBL) electrostatic assembly followed by in situ reduction without using any complicated microfabrication processes. The resultant conductive MWCNT/RGO@PU sponges exhibit very low densities (0.027-0.064 g cm-3), outstanding compressibility (up to 75%) and high electrical conductivity benefiting from the porous PU sponges and synergistic conductive MWCNT/RGO structures. In addition, the MWCNT/RGO@PU sponges present larger relative resistance changes and superior sensing performances under external applied pressures (0-5.6 kPa) and a wide range of strains (0-75%) compared with the RGO@PU and MWCNT@PU sponges, due to the synergistic effect of multiple mechanisms: "disconnect-connect" transition of nanogaps, microcracks and fractured skeletons at low compression strain and compressive contact of the conductive skeletons at high compression strain. The electrical and piezoresistive properties of MWCNT/RGO@PU sponges are strongly associated with the dip-coating cycle, suspension concentration, and the applied pressure and strain. Fully functional applications of MWCNT/RGO@PU sponge-based piezoresistive sensors in lighting LED lamps and detecting human body movements are demonstrated, indicating their excellent potential for emerging applications such as health monitoring, wearable devices and artificial intelligence.

Entities:  

Year:  2018        PMID: 29616263     DOI: 10.1039/c8nr00004b

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  7 in total

1.  Reduced graphene oxide-based highly sensitive pressure sensor for wearable electronics via an ordered structure and enhanced interlayer interaction mechanism.

Authors:  Kemeng Zhou; Changzhou Chen; Min Lei; Qian Gao; Shuangxi Nie; Xinliang Liu; Shuangfei Wang
Journal:  RSC Adv       Date:  2020-01-10       Impact factor: 4.036

2.  Nano Carbon Black-Based High Performance Wearable Pressure Sensors.

Authors:  Junsong Hu; Junsheng Yu; Ying Li; Xiaoqing Liao; Xingwu Yan; Lu Li
Journal:  Nanomaterials (Basel)       Date:  2020-04-02       Impact factor: 5.076

3.  Synthesis of a TEMPO-Substituted Polyacrylamide Bearing a Sulfonate Sodium Pendant and Its Properties in an Organic Radical Battery.

Authors:  Junfeng Zhu; Ting Zhu; Huan Tuo; Wanbin Zhang
Journal:  Polymers (Basel)       Date:  2019-12-12       Impact factor: 4.329

4.  The Effect of Pore Volume on the Behavior of Polyurethane-Foam-Based Pressure Sensors.

Authors:  Mohammed Nabeel; Miklós Varga; László Kuzsella; Béla Fiser; László Vanyorek; Béla Viskolcz
Journal:  Polymers (Basel)       Date:  2022-09-02       Impact factor: 4.967

Review 5.  Materials, Electrical Performance, Mechanisms, Applications, and Manufacturing Approaches for Flexible Strain Sensors.

Authors:  Fei Han; Min Li; Huaiyu Ye; Guoqi Zhang
Journal:  Nanomaterials (Basel)       Date:  2021-05-05       Impact factor: 5.076

6.  Preparation of Bamboo-Like Carbon Nanotube Loaded Piezoresistive Polyurethane-Silicone Rubber Composite.

Authors:  Mohammed Nabeel; Miklós Varga; László Kuzsela; Ádám Filep; Béla Fiser; Béla Viskolcz; Mariann Kollar; László Vanyorek
Journal:  Polymers (Basel)       Date:  2021-06-29       Impact factor: 4.329

7.  Self-Restoring Capacitive Pressure Sensor Based on Three-Dimensional Porous Structure and Shape Memory Polymer.

Authors:  Byunggeon Park; Young Jung; Jong Soo Ko; Jinhyoung Park; Hanchul Cho
Journal:  Polymers (Basel)       Date:  2021-03-08       Impact factor: 4.329

  7 in total

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