Construction of Hierarchical α-Fe2O3/SnO2 Nanoball Arrays with Superior Acetone Sensing Performance

Peng Wang, Su Zhen Wang, Qing Han, Dong Qinq Zou, Wen Kai Zhao, Xue Dong Wang, Chen Luo, Xin Yang, Xing Wu, Wan Feng Xie

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Gas sensors based on SnO2, Fe2O3, and their nanocomposites are promising candidates for sensing of acetone, ethanol, hydrogen, NO2, ozone, and formaldehyde. In this work, a rational hydrothermal route is designed to prepare α-Fe2O3/SnO2 porous sphere arrays assembled with hierarchical nanostructure (denoted as α-Fe2O3(x%)/SnO2). The results demonstrate that the α-Fe2O3(4%)/SnO2 based sensor exhibits excellent sensing performance, the short response/recovery time of 3 and 4 s, respectively. A very low working temperature of 200 °C, wide linear detection range (from 500 ppb to 500 ppm), and long-term cycling stability of as long as 90 days, and stable performance at 80% of relative humidity. The sensing signals can be accurately sampled and processed by the integrated circuit system, to collect and monitor the acetone concentration alteration signals in real time. Furthermore, the gas sensing performance is interpreted by the functions of hierarchical nanostructure and synergistic effect of Fe2O3/SnO2 nanohybrids.

Original languageEnglish
Article number2001831
JournalAdvanced Materials Interfaces
Volume8
Issue number5
DOIs
StatePublished - 9 Mar 2021

Keywords

  • acetone sensing
  • gas sensors
  • mesoporous structures
  • sensing signal processing
  • α-FeO/SnO hybrids

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