Experimental design as a tool for parameter optimization of photoelectrocatalytic degradation of a textile dye

摘要: Abstract Although several factors are found to influence the efficiency of photoelectrocatalytic oxidation, univariate optimization may not provide some relevant information, such as existence interaction between factors. This article describes parameters by response surface methodology (RSM) using a two-level full factorial composite design with center point. The investigated included pH, bias potential and counter electrode material (C.E.) employed in degradation 50 mg L−1 Acid Red 151 (AR151) azo dye (taken model textile dye) 0.01 mol L−1 Na2SO4 electrolyte, boron-doped TiO2 nanotube (B-TNT) photoanode under UV/Vis Hg lamp irradiation. responses evaluated were total organic carbon removal decolorization. results showed that all exerted significant effect, among which pH was variable greatest impact on PEC treatment. less significant, interactions variables, electrode, observed for both responses. best conditions AR151 2.0 2.0 V graphite electrode. Photoelectrocatalytic treatment reached decolorization 30 min almost mineralization after 90 min. findings show use RSM optimize helps save time chemicals, addition contributing toward better understanding affect performance.