Enhanced NO2 sensing aptness of ZnO nanowire/CuO nanoparticle heterostructure-based gas sensors

Y. H. Navale, S. T. Navale*, F. J. Stadler, N. S. Ramgir, V. B. Patil

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

130 Scopus citations

Abstract

Designing heterostructure materials for better gas sensing performance is a key for obtaining low-temperature gas sensor device technologies. Herein, CuO nanoparticle-ZnO nanowire heterostructure-based gas sensors have been fabricated by thermal evaporation followed by annealing in argon and air atmospheres and named respectively as NWG and NWA sensors. X-ray diffraction demonstrates the monoclinic structure of CuO and hexagonal wurtzite structure of ZnO and, thus, the formation of heterostructure. Morphological analysis confirms the ZnO nanowires (NWs) were well-linked to CuO nanoparticles (NPs). At an optimized temperature of 150 °C, the heterostructure sensor exhibits a maximum response (NWG, 175%) to NO2 over other oxidizing/reducing target gases on the exposure of 100 ppm concentration. This heterostructure sensor, noteworthy, responds to an extremely low exposure of NO2 gas (1 ppm). The interactions of oxidizing NO2 gas with ZnO/CuO heterostructure sensors has effectively been scrutinized using impedance spectroscopy analysis.

Original languageEnglish
Pages (from-to)1513-1522
Number of pages10
JournalCeramics International
Volume45
Issue number2
DOIs
StatePublished - 1 Feb 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Ltd and Techna Group S.r.l.

Keywords

  • Chemiresistive properties
  • Heterostructure
  • Metal oxides
  • NO sensor
  • Nanowire

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Ceramics and Composites
  • Process Chemistry and Technology
  • Surfaces, Coatings and Films
  • Materials Chemistry

Fingerprint

Dive into the research topics of 'Enhanced NO2 sensing aptness of ZnO nanowire/CuO nanoparticle heterostructure-based gas sensors'. Together they form a unique fingerprint.

Cite this