Optimizing the synthesis and properties of Al-modified anatase catalyst supports by statistical experimental design

The important variables in the synthesis of stable, high surface area, aluminum-modified anatase TiO 2 catalyst supports were identified and optimized using statistically designed experiments (DOEs). The first DOE examined ten variables at two levels and a second DOE studied eight variables at three...

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Bibliographic Details
Published in:Journal of porous materials 2014-10, Vol.21 (5), p.827-837
Main Authors: Olsen, Rebecca E., Bartholomew, Calvin H., Enfield, David B., Lawson, John S., Rohbock, Nathaniel, Scott, B. Sterling, Woodfield, Brian F.
Format: Article
Language:English
Subjects:
Aluminum
Anatase
Calcination
Catalysis
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
Mathematical analysis
Physical Chemistry
Porosity
Surface area
Synthesis
Titanium dioxide
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Summary:The important variables in the synthesis of stable, high surface area, aluminum-modified anatase TiO 2 catalyst supports were identified and optimized using statistically designed experiments (DOEs). The first DOE examined ten variables at two levels and a second DOE studied eight variables at three levels. Equations were developed to predict the conditions to obtain the highest surface area and pore volume at the desired pore diameter and predict the pore diameter range that may be obtained. Confirmation trials closely matched predicted surface areas, pore volumes, and pore diameters in all but one trial. Rinsing order (before or after calcination) was the most significant factor. Other important factors were calcination temperature, mol% aluminum, and water addition speed. The results of this study demonstrate (a) the power of DOEs in identifying and controlling synthesis variables in relatively few experiments and (b) how analysis of factor effects can provide insight into the formation mechanism.
ISSN:1380-2224
1573-4854
DOI:10.1007/s10934-014-9832-5