4.7 Article

Synthesis, morphology, characterisation, and ethanol gas sensing of hierarchical flower-like Co-doped WO3 nanoplates by solvothermal route

期刊

CERAMICS INTERNATIONAL
卷 47, 期 15, 页码 20956-20964

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.ceramint.2021.04.095

关键词

Solvothermal method; Semiconducting metal oxides; Doping; Hetero-nanostructures; Gas sensors

资金

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2020R1I1A1A01067825, NRF-2019R1A6A1A11055660]
  2. Yonsei-KIST Convergence Research Program
  3. Korea Initiative for fostering University of Research and Innovation (KIURI) Program of the National Research Foundation (NRF) - Korean government (MSIT) [NRF-2020M3H1A1077207]

向作者/读者索取更多资源

The research found that the response of Co-doped three-dimensional flower-like tungsten oxide nanoplates to ethanol gas sensing changes gradually according to the process temperature and Co doping concentration, influenced by a variety of complex factors. Therefore, in the field of ethanol gas sensing, analyzing various factors and predicting the results may be more important.
Three-dimensional flower-like tungsten oxide nanoplates sequentially doped with Co at different concentrations were fabricated using a single solvothermal process. The response of the nanostructure of the n-type tungsten oxide used for sensing ethanol gas, which is a reducing gas, changed sequentially according to the process temperature and doping concentration of Co. This response cannot be attributed to a single reason, but it can be regarded as a result of the combination of several complicated direct and indirect phenomena such as (1) point, line, and cross-section defects on the surface, (2) change in initial resistance corresponding to doping concentration, (3) catalytic effect of dopant, and (4) difference in energy level at heterojunctions. Therefore, unlike in the case of other gas sensing methods that depend on a main cause or mechanism, it might be meaningful in the case of ethanol gas sensing to analyse each cause and predict the results of different combinations.

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