journal article·2011-12

TiO2 supported on rod-like mesoporous silica SBA-15: Preparation, characterization and photocatalytic behaviour

Yanjuan Li, Nan Li, Jinchun Tu, Xiaotian Li, Beibei Wang, Yue Chi, Darui Liu, Dianfan Yang

Materials Research Bulletin· Volume 46· Issue 12
Publisher page

Abstract

Highlights: Black-Right-Pointing-Pointer Rod-like SBA-15 and normal SBA-15 were used to prepare TiO{sub 2}/SBA-15 composites. Black-Right-Pointing-Pointer TiO{sub 2}/SBA-15 composites were studied as catalysts for methyl orange photodegradation. Black-Right-Pointing-Pointer TiO{sub 2}/Rod-SBA-15 exhibited higher photocatalytic activity than TiO{sub 2}/Nor-SBA-15. Black-Right-Pointing-Pointer The higher catalytic activity was a result of the controlled morphology of SBA-15. -- Abstract: TiO{sub 2} nanoparticles have been successfully incorporated in the pores of mesoporous silica SBA-15 with different morphologies by a wet impregnation method. The composites were characterized by powder X-ray diffraction (XRD), scanning electron microscopy (SEM), inductively coupled plasma (ICP) emission spectroscopy, transmission electron microscopy (TEM), N{sub 2}-sorption and UV-Vis diffuse reflectance spectroscopy. The photodegradation of methyl orange (MO) was used to study their photocatalytic property. It is indicated that the morphology of SBA-15 had a great influence on the photocatalytic activity of the composites. When TiO{sub 2}/SBA-15 composite was prepared by loading TiO{sub 2} nanoparticles on uniform rod-like SBA-15 of 1 {mu}m length, it showed higher photocatalytic degradation rate than that on less regular but much larger SBA-15 support. This difference was rationalized in terms of the homogeneously distributed and shorter channels of rod-like SBA-15, which favored mass transport and improved the efficient utilization of the pore surface.
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Research context

OpenAlex topics: Mesoporous Materials and Catalysis · Advanced Photocatalysis Techniques · Catalytic Processes in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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