Literature DB >> 23957827

Triboelectric active sensor array for self-powered static and dynamic pressure detection and tactile imaging.

Long Lin1, Yannan Xie, Sihong Wang, Wenzhuo Wu, Simiao Niu, Xiaonan Wen, Zhong Lin Wang.   

Abstract

We report an innovative, large-area, and self-powered pressure mapping approach based on the triboelectric effect, which converts the mechanical stimuli into electrical output signals. The working mechanism of the triboelectric active sensor (TEAS) was theoretically studied by both analytical method and numerical calculation to gain an intuitive understanding of the relationship between the applied pressure and the responsive signals. Relying on the unique pressure response characteristics of the open-circuit voltage and short-circuit current, we realize both static and dynamic pressure sensing on a single device for the first time. A series of comprehensive investigations were carried out to characterize the performance of the TEAS, and high sensitivity (0.31 kPa(-1)), ultrafast response time (<5 ms), long-term stability (30,000 cycles), as well as low detection limit (2.1 Pa) were achieved. The pressure measurement range of the TEAS was adjustable, which means both gentle pressure detection and large-scale pressure sensing were enabled. Through integrating multiple TEAS units into a sensor array, the as-fabricated TEAS matrix was capable of monitoring and mapping the local pressure distribution applied on the device with distinguishable spatial profiles. This work presents a technique for tactile imaging and progress toward practical applications of nanogenerators, providing potential solutions for accomplishment of artificial skin, human-electronic interfacing, and self-powered systems.

Entities:  

Mesh:

Year:  2013        PMID: 23957827     DOI: 10.1021/nn4037514

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


  38 in total

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2.  Characterization of a packaged triboelectric harvester under simulated gait loading for total knee replacement.

Authors:  Nabid Aunjum Hossain; Geofrey George Yamomo; Ryan Willing; Shahrzad Towfighian
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Review 3.  Recent Advances in Stretchable and Wearable Capacitive Electrophysiological Sensors for Long-Term Health Monitoring.

Authors:  Hadaate Ullah; Md A Wahab; Geoffrey Will; Mohammad R Karim; Taisong Pan; Min Gao; Dakun Lai; Yuan Lin; Mahdi H Miraz
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4.  Effect of Dielectric Material and Package Stiffness on the Power Generation in a Packaged Triboelectric Energy Harvesting System for Total Knee Replacement.

Authors:  Nabid Aunjum Hossain; Geofrey George Yamomo; Ryan Willing; Shahrzad Towfighian
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5.  Hierarchical Network Enabled Flexible Textile Pressure Sensor with Ultrabroad Response Range and High-Temperature Resistance.

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Journal:  Adv Sci (Weinh)       Date:  2022-03-14       Impact factor: 17.521

6.  Flexible and highly sensitive pressure sensors based on microcrack arrays inspired by scorpions.

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Journal:  RSC Adv       Date:  2019-07-23       Impact factor: 4.036

7.  Self-powered thin-film motion vector sensor.

Authors:  Qingshen Jing; Yannan Xie; Guang Zhu; Ray P S Han; Zhong Lin Wang
Journal:  Nat Commun       Date:  2015-08-14       Impact factor: 14.919

8.  Boosted output performance of triboelectric nanogenerator via electric double layer effect.

Authors:  Jinsung Chun; Byeong Uk Ye; Jae Won Lee; Dukhyun Choi; Chong-Yun Kang; Sang-Woo Kim; Zhong Lin Wang; Jeong Min Baik
Journal:  Nat Commun       Date:  2016-10-05       Impact factor: 14.919

Review 9.  Nanogenerator-based self-powered sensors for data collection.

Authors:  Yicheng Shao; Maoliang Shen; Yuankai Zhou; Xin Cui; Lijie Li; Yan Zhang
Journal:  Beilstein J Nanotechnol       Date:  2021-07-08       Impact factor: 3.649

10.  A highly shape-adaptive, stretchable design based on conductive liquid for energy harvesting and self-powered biomechanical monitoring.

Authors:  Fang Yi; Xiaofeng Wang; Simiao Niu; Shengming Li; Yajiang Yin; Keren Dai; Guangjie Zhang; Long Lin; Zhen Wen; Hengyu Guo; Jie Wang; Min-Hsin Yeh; Yunlong Zi; Qingliang Liao; Zheng You; Yue Zhang; Zhong Lin Wang
Journal:  Sci Adv       Date:  2016-06-17       Impact factor: 14.136

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