Your browser doesn't support javascript.
loading
Co3O4-SnO2 Hollow Heteronanostructures: Facile Control of Gas Selectivity by Compositional Tuning of Sensing Materials via Galvanic Replacement.
Jeong, Hyun-Mook; Kim, Jae-Hyeok; Jeong, Seong-Yong; Kwak, Chang-Hoon; Lee, Jong-Heun.
Afiliação
  • Jeong HM; Department of Materials Science and Engineering, Korea University , Seoul 02841, Republic of Korea.
  • Kim JH; Department of Materials Science and Engineering, Korea University , Seoul 02841, Republic of Korea.
  • Jeong SY; Department of Materials Science and Engineering, Korea University , Seoul 02841, Republic of Korea.
  • Kwak CH; Department of Materials Science and Engineering, Korea University , Seoul 02841, Republic of Korea.
  • Lee JH; Department of Materials Science and Engineering, Korea University , Seoul 02841, Republic of Korea.
ACS Appl Mater Interfaces ; 8(12): 7877-83, 2016 Mar.
Article em En | MEDLINE | ID: mdl-26964735
Co3O4 hollow spheres prepared by ultrasonic spray pyrolysis were converted into Co3O4-SnO2 core-shell hollow spheres by galvanic replacement with subsequent calcination at 450 °C for 2 h for gas sensor applications. Gas selectivity of the obtained spheres can be controlled by varying the amount of SnO2 shells (14.6, 24.3, and 43.3 at. %) and sensor temperatures. Co3O4 sensors possess an ability to selectively detect ethanol at 275 °C. When the amount of SnO2 shells was increased to 14.6 and 24.3 at. %, highly selective detection of xylene and methylbenzenes (xylene + toluene) was achieved at 275 and 300 °C, respectively. Good selectivity of Co3O4 hollow spheres to ethanol can be explained by a catalytic activity of Co3O4; whereas high selectivity of Co3O4-SnO2 core-shell hollow spheres to methylbenzenes is attributed to a synergistic effect of catalytic SnO2 and Co3O4 and promotion of gas sensing reactions by a pore-size control of microreactors.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article