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Narges Keshavarz Jafarzadeh,Shahram Sharifnia,Seyed Nezam Hosseini,Farshad Rahimpour 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.2
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%.