Skip to main navigation Skip to search Skip to main content

Optimization of Pt nanoparticles loading in ZnO for highly selective and stable hydrogen gas sensor at reduced working temperature

  • Sanjay Kumar
  • , Shiv Dutta Lawaniya
  • , Sonalika Agarwal
  • , Yeon Tae Yu
  • , Srinivasa Rao Nelamarri
  • , Manoj Kumar
  • , Yogendra Kumar Mishra
  • , Kamlendra Awasthi*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

The aim of the current research is to utilize pure ZnO, and Pt nanoparticles loaded ZnO pencil-like microstructures to develop a highly selective and stable H2 gas sensor. The microstructures were synthesized using the well-known hydrothermal route and characterized via several techniques such as X-ray diffraction, field emission scanning electron microscopy, X-ray photoelectron spectroscopy, and transmission electron microscopy to investigate the structural, elemental, and morphological properties. Finally, the hydrogen sensing properties of prepared sensors were examined to optimize the Pt content and explore the detection capabilities of the materials toward H2 gas. The highly selective response was observed for the optimum concentration of 1 at% Pt loaded ZnO microstructures at a relatively reduced working temperature of 150 ℃ with good repeatability and high stability. Additionally, the improved sensing mechanism was thoroughly investigated. Our findings indicate that the inclusion of an optimal amount of noble metals into metal oxide semiconductor-based microstructures improves the gas detection performance with superior selectivity in real-world applications.

Original languageEnglish
Article number132943
JournalSensors and Actuators, B: Chemical
Volume375
DOIs
StatePublished - 2023.01.15

Keywords

  • Hydrogen sensor
  • Pt nanoparticles
  • Pt: ZnO
  • ZnO microstructures

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Physics & Astronomy

Fingerprint

Dive into the research topics of 'Optimization of Pt nanoparticles loading in ZnO for highly selective and stable hydrogen gas sensor at reduced working temperature'. Together they form a unique fingerprint.

Cite this