• 文献标题:   Functionalization of polypropylene nonwoven fabrics using cold plasma (O-2) for developing graphene-based wearable sensors
  • 文献类型:   Article
  • 作  者:   HASAN MM, ZHU FC, AHMED A, KHOSO NA, DEB H, LAI YC, ISLAM MZ, SUN H, YU B
  • 作者关键词:   polypropylene, nonwoven, cold plasma, graphene, sensor, etextile
  • 出版物名称:   SENSORS ACTUATORS APHYSICAL
  • ISSN:   0924-4247
  • 通讯作者地址:   Zhejiang Prov Key Lab Ind Text Mat Mfg Technol
  • 被引频次:   5
  • DOI:   10.1016/j.sna.2019.111637
  • 出版年:   2019

▎ 摘  要

Melt blown Nonwoven Polypropylene based materials have numerous applications, such as nonwoven fabrics, filtration membranes used in clothing and potential industrial use due to its higher breathability, durability, absorbency, and filtration properties. Nonwoven PP-fabrics are very often used to develop wearable articles such as garments. In this research melt blown-nonwoven polypropylene (NW-PP) membranes were functionalized using (O-2) cold plasma for the conversion of highly hydrophobic into hydrophilic nature to enhance the absorption and adhesion of graphene films on the fiber surface. The graphene oxide (GO) and NW membrane was successfully introduced on the fibrous mat and reduced into reduced Graphene oxide (rGO) with green chemical and thermal reduction. L-Ascorbic Acid was used as a reducing agent at a low-temperature microwave-assisted reduction at 90 degrees C. The as developed NW membrane was connected two copper electrodes and used as wearable pressure (WP) sensors. The physical sensor responds with different stretching and bending cycles under dynamic pressure of loading and unloading. The sensitivity of the developed pressure sensor was 0.050 kPa(-1) in a wide pressure range (0-60 kPa). The resultant rGO coated NW-PP wearable pressure sensor (RNPWP) is capable of responding to human body movement and motion. The study demonstrates that mass production on an industrial scale graphene-based conductive nonwoven PP fabric potentially replaces the metal-based conductive wearable textiles for physical sensors. (C) 2019 Elsevier B.V. All rights reserved.