• 文献标题:   Hierarchical 3D nanostructure of GdInO3 and reduced-graphene-decorated GdInO3 nanocomposite for CO sensing applications
  • 文献类型:   Article
  • 作  者:   BALAMURUGAN C, ARUNKUMAR S, LEE DW
  • 作者关键词:   co gas sensor, gdino3, reduced grapheme, nanocomposite, 3d nanostructure
  • 出版物名称:   SENSORS ACTUATORS BCHEMICAL
  • ISSN:  
  • 通讯作者地址:   Chonnam Natl Univ
  • 被引频次:   17
  • DOI:   10.1016/j.snb.2016.04.043
  • 出版年:   2016

▎ 摘  要

Metal oxide/graphene nanocomposites have received great attention in various fields of science and technology especially for developing high-performance chemical gas sensors. Herein, we demonstrate in detail the facile hydrothermal synthesis route for the preparation of mesoporous hierarchical GdInO3 and reduced graphene oxide (rGO) decorated GdInO3 composites as a selective carbon monoxide (CO) sensor. The synthesized materials were characterized in detail by several analytical techniques such as TGA, FT-IR, Raman, XRD, and XPS. The morphological evaluations of the materials were carried out by field emission scanning electron microscopy and transmission electron microscopy along with the selected area electron diffraction analysis. The detailed electron microscopy investigations of GdInO3 reveal the self-assembly of smaller nanoparticles into hierarchical structures resembling nanorods which aggregate further into the sphere like morphology. The surface area and pore size disruption of the materials were carried out by N-2 adsorption/desorption isotherm analysis. The CO sensing characteristics of rGO/GdInO3 nanocomposite clearly shows the maximum sensor response (S similar to 100) with appreciably fast response (Gamma(RES) similar to 14 s) and recovery time (Gamma(REC) similar to 15 s) towards 100 ppm of CO at 90 degrees C whereas the sensor response of pure GdInO3 reaches a maximum limit ( S 70) at 150 degrees C. Furthermore, the sensors also displayed very high selectivity towards CO compared to other interfering gases. Therefore, the rGO decorated GdInO3 is a promising candidate for fast, sensitive and selective detection of CO at low operating temperatures. (C) 2016 Published by Elsevier B.V.