Repository logo
  • English
  • عربي
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • عربي
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "F.A Abudelrhman, Mohmed"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Characterization The High Dispersion Molybdenum Oxide On Silica Surface Using XRD Technique
    (Sebha University, 2010) F.A Abudelrhman, Mohmed
    The X-ray powder diffraction method is thus ideally suited for characterization and identification of polycrystalline phases. The main use of powder diffraction is to identify components in a sample by a search/match procedure. Silica (SiO2) supported molybena (MoO3) catalysts at loading varying between 3 and 6 wt% were prepared by impregnating support silica (SiO2) with an aqueous solution at different acidity levels (pH = 2, 4 and 6) of ammonium hepta molybdate. After stirring for 3 h, the excess water was slowly evaporated at 100°C. Moreover, the impregnated supports were further dried at 120°C for 24 h. The products thus obtained were calcined at 700 °C for 2 h in static atmosphere of air. X-ray powder diffractogram (XRD) for support (SiO2), supported (MoO3) and different loading levels (3, 4, 5 and 6 wt% MoO3/SiO2) catalysts at different PH`s were investigated. The results clearly revealed that the formation of highly dispersed MoO3 phase on the SiO2 surface at a loading levels of 3 wt%, at pH = 2, for 4 wt%, at pH = 4 and 5 wt%, at pH = 6. This indicts that, a weaker dispersion of MoO3 on SiO2 surface at low pH. Given that, at low pH = 2 the formation of MoO3 phase crystallites was observed at 2 wt%. Whereas, at high pH = 6 the form of MoO3 crystallites was observed at 6 wt%. These results can be reorganized on the basis of the different surface chemical properties of the oxide support and nature of oxide supported.

DSpace software copyright © 2002-2025 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback