Investigation of 2-nitrophenol solar degradation in the simultaneous presence of K2S2O8 and H2O2: Using experimental design and artificial neural network

摘要: Abstract In this study, the interaction effect of K2S2O8 (PDS) and H2O2 (as two powerful oxidants) was investigated on solar degradation 2-nitrophenol (2-NF) in systems, i.e. absence presence Ag/S/TiO2 photocatalyst. Experiments were designed based central composite design, methods response surface methodology (RSM) artificial neural network (ANN) developed for modeling systems. Concentrations PDS considered as independent variables 2-NF efficiency selected response. It revealed that predictive capacity ANN model is more than RSM according to their corresponding R2, R2adj, RMS, MAE, AAD values. Therefore, utilized analyze effects variables. Moreover, it found that, by increasing amount either or H2O2, less other oxidant required reach highest which shows contributive oxidants each other. By adding visible-light-sensitive photocatalyst solution containing a significant enhancement observed. Using an ANN-genetic algorithm (ANN-GA) approach, values 172.1 mg/l 80.9 mg/l respectively obtained optimum concentrations (in photocatalyst). Under condition, predicted be 96% after only 45 min light irradiation good agreement with actual 97.1% at concentrations. addition, relative importance studied using Garson method had impact comparison H2O2.