Literature DB >> 35290805

Skin-inspired flexible and high-performance MXene@polydimethylsiloxane piezoresistive pressure sensor for human motion detection.

Baodeng Chen1, Lin Zhang1, Hongqiang Li2, Xuejun Lai1, Xingrong Zeng3.   

Abstract

In recent years, flexible high-performance piezoresistive pressure sensors have attracted considerable attention for the important application potential in the emerging fields of smart robots, wearable electronics and electronic skin. Herein, inspired by human skin, a new strategy was proposed for the fabrication of a double-layer piezoresistive pressure sensor with wide sensing range and high sensitivity. It was based on the utilization of sandpaper as template and MXene for the constructions of micro-protrusion rough surface on polydimethylsiloxane film and electrically conductive pathways, respectively. The prepared sensor demonstrated high sensitivity of 2.6 kPa-1 in wide linear range of 0-30 kPa, fast response/recovery time of 40/40 ms and excellent repeatability. Importantly, the sensor was successfully applied for the real-time detection of radial artery heart rate, limb movement, handwriting and vocal cord vocalization. Moreover, the integrated device by the sensors had the capability of identifying and visualizing spatial pressure distribution. The findings conceivably stand out a new methodology to prepare flexible high-performance piezoresistive pressure sensors for wearable electronics, human-computer interaction, intelligent robots and health monitoring.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Human motion detection; MXene; Micro-protrusion structure; Piezoresistive pressure sensor

Mesh:

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Year:  2022        PMID: 35290805     DOI: 10.1016/j.jcis.2022.03.013

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  2 in total

1.  A high-performance wearable pressure sensor based on an MXene/PVP composite nanofiber membrane for health monitoring.

Authors:  Mengna Ren; Zhongsen Sun; Mengqi Zhang; Xiaojun Yang; Dedong Guo; Shuheng Dong; Rajendra Dhakal; Zhao Yao; Yuanyue Li; Nam Young Kim
Journal:  Nanoscale Adv       Date:  2022-08-15

Review 2.  Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications.

Authors:  Angela-Tafadzwa Shumba; Teodoro Montanaro; Ilaria Sergi; Luca Fachechi; Massimo De Vittorio; Luigi Patrono
Journal:  Sensors (Basel)       Date:  2022-10-10       Impact factor: 3.847

  2 in total

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