• DocumentCode
    3138223
  • Title

    Combination of tailored acid-base and red/ox properties of nanocrystalline SnO2 for optimal gas sensor performance: Principle applicability study on NH3 and H2S examples

  • Author

    Krivetskiy, V. ; Rumyantseva, Marina ; Gaskov, Alexander ; Rozhik, R.

  • Author_Institution
    Dept. of Chem., M.V. Lomonosov Moscow State Univ., Moscow, Russia
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    116
  • Lastpage
    120
  • Abstract
    The work presents feasibility study of theoretical concept, connecting semiconductor metal oxide chemistry and its gas sensor properties on the nanocrystalline SnO2 example. It is shown, that materials surface chemistry simultaneous modification by metal oxide structure dopants and deposition of catalytic components on the surface can be made in order to alter both gas molecule adsorption and conversion. It is achieved through controlled changes in materials surface acidity and Red/Ox activity. The approach allows improvement of materials sensitivity and selectivity of response at the same time and could be used as basis for development of sensors series (array), applicable in particular gas analysis task.
  • Keywords
    adsorption; catalysis; gas sensors; nanostructured materials; semiconductor materials; surface chemistry; tin compounds; SnO2; catalytic components; gas molecule adsorption; metal oxide structure dopants; nanocrystalline SnO2; optimal gas sensor performance; red/ox properties; semiconductor metal oxide chemistry; surface acidity; surface chemistry; tailored acid-base properties; Chemical sensors; Chemicals; Gas detectors; Materials; Metals; Temperature sensors; metal oxide; semiconductor; sensitivity; sensor; surface chemistry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2013 Seventh International Conference on
  • Conference_Location
    Wellington
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-5220-8
  • Type

    conf

  • DOI
    10.1109/ICSensT.2013.6727626
  • Filename
    6727626