Abstract
Response surface methodology (RSM) using D-optimal design was applied to optimization of photocat- alytic 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 o C; UV irradiation time, 6.5 h; UV light intensity, 250 W; catalyst calcination temperature, 600 o C; and TiO2/perlite dosage, 6 g/L. Analysis of variance (ANOVA) showed a high coefficient of determination (R 2 ) of 91.8%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
