Statistical optimization of process conditions for photocatalytic degradation of phenol with immobilization of nano TiO_2 on perlite granules

Response surface methodology (RSM) using D-optimal design was applied to optimization of photocatalytic degradation of phenol by new composite nano-catalyst (TiO_2/Perlite). Effects of seven factors (initial pH, initial phenol concentration, reaction temperature, UV irradiation time, UV light intens...

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Bibliographic Details
Published in:The Korean journal of chemical engineering 2011, 28(2), 131, pp.531-538
Main Authors: Narges Keshavarz Jafarzadeh, Shahram Sharifnia, Seyed Nezam Hosseini(Pasteur Institute of Iran, Farshad Rahimpour
Format: Article
Language:English
Subjects:
화학공학
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Summary:Response surface methodology (RSM) using D-optimal design was applied to optimization of photocatalytic degradation of phenol by new composite nano-catalyst (TiO_2/Perlite). Effects of seven factors (initial pH, initial phenol concentration, reaction temperature, UV irradiation time, UV light intensity, catalyst calcination temperature,and dosage of TiO_2/perlite) on phenol conversion efficiency were studied and optimized by using the statistical software MODDE 8.02. On statistical analysis of the results from the experimental studies, the optimum process conditions were as follows: initial pH, 10.7; initial phenol concentration, 0.5 mM; reaction temperature, 27 ℃; UV irradiation time,6.5 h; UV light intensity, 250W; catalyst calcination temperature, 600 ℃; and TiO_2/perlite dosage, 6 g/L. Analysis of variance (ANOVA) showed a high coefficient of determination (R^2) of 91.8%. KCI Citation Count: 26
ISSN:0256-1115
1975-7220