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Statistical optimization of process conditions for photocatalytic degradation of phenol with immobilization of nano TiO2 on perlite granules

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Abstract

Response surface methodology (RSM) using D-optimal design was applied to optimization of photocatalytic degradation of phenol by new composite nano-catalyst (TiO2/Perlite). Effects of seven factors (initial pH, initial phenol concentration, reaction temperature, UV irradiation time, UV light intensity, catalyst calcination temperature, and dosage of TiO2/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 °C; UV irradiation time, 6.5 h; UV light intensity, 250 W; catalyst calcination temperature, 600 °C; and TiO2/perlite dosage, 6 g/L. Analysis of variance (ANOVA) showed a high coefficient of determination (R2) of 91.8%.

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Authors and Affiliations

  1. Chemical Engineering Department, Catalyst Research Center, Razi University, Kermanshah, 67149-67346, Iran

    Narges Keshavarz Jafarzadeh & Shahram Sharifnia

  2. Pasteur Institute of Iran (IPI), Tehran, 13164, Iran

    Seyed Nezam Hosseini

  3. Chemical Engiveering Department, Biotechnol. Research Lab., Razi University, Kermanshah, 67149-67346, Iran

    Farshad Rahimpour

Authors
  1. Narges Keshavarz Jafarzadeh
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  2. Shahram Sharifnia
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  3. Seyed Nezam Hosseini
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  4. Farshad Rahimpour
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Correspondence to Shahram Sharifnia.

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Jafarzadeh, N.K., Sharifnia, S., Hosseini, S.N. et al. Statistical optimization of process conditions for photocatalytic degradation of phenol with immobilization of nano TiO2 on perlite granules. Korean J. Chem. Eng. 28, 531–538 (2011). https://doi.org/10.1007/s11814-010-0355-8

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  • DOI: https://doi.org/10.1007/s11814-010-0355-8

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