• DocumentCode
    1779573
  • Title

    Alcohols detection based on Pd-doped SnO2 sensors

  • Author

    Paredes-Doig, Ana L. ; del Rosario Sun-Kou, Maria ; Comina, German

  • Author_Institution
    Seccion Quim. Dept. de Cienc., Pontificia Univ. Catolica del Peru, Lima, Peru
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper a series of sensors based on SnO2 doped by impregnation with Pd, with a ratio of 1% to 5% were prepared. These sensors have shown good sensitivity for different alcohols (ethanol, n-butanol and 1-octanol). The characterization of the doped SnO2 was performed using N2 adsorption-desorption by the Brunauer-Emmett-Teller (SBET) surface area analysis, and Scanning Electron Microscopy (SEM). The gas sensor´s behaviour for different alcohol-vapours and different working temperature were analyzed. Although the fabrication technique does not give us a uniform and well shaped film, it was observed that the response signal of the sensor changes proportionally with the sensing temperature. The higher voltage response to ethanol was obtained with the sensor 5% Pd-SnO2 film, and also it has been obtained good signal reproducibility when alcohols (ethanol, n-butanol and 1-octanol) were measured under the same conditions.
  • Keywords
    adsorption; desorption; gas sensors; organic compounds; palladium; scanning electron microscopy; temperature sensors; tin compounds; 1-octanol; Brunauer-Emmett-Teller surface area analysis; SBET; SEM; SnO2:Pd; adsorption-desorption; alcohol detection; alcohol-vapours sensor; ethanol; gas sensor; n-butanol; scanning electron microscopy; signal reproducibility; temperature sensing; Ethanol; Films; Gas detectors; Powders; Surface morphology; Temperature sensors; Pd-SnO2; alcohol detection; gas sensor; palladium; tin oxide;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors (IBERSENSOR), 2014 IEEE 9th Ibero-American Congress on
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4799-6835-0
  • Type

    conf

  • DOI
    10.1109/IBERSENSOR.2014.6995514
  • Filename
    6995514