Treatment characteristics and statistical optimization of Chloroform using sonophotocatalysis

The experimental design and response surface methodology were applied to optimization of the sonophotocatalytic degradation of Chloroform. The sonophotocatalytic reactions were mathematically described as a function of parameters such as Chloroform concentration, UV intensity, and TiO2 concentration using the Box-Behnken method. Statistical analysis showed that the responses of Chloroform removal in sonophotocatalysis were fitted to linear interaction effect model. The response surface methodology using the Box-Behnken method yields the following equation as an uncoded unit: y = 90.7017 + 5.3371(UV) - 4.2315(Chloroform) -0.3550(TiO2) - 0.8101(UV)(Chloroform) + 0.1072(UV)(TiO2) + 0.0574(Chloroform)(TiO2). As for main effect factors of the model formula, concentration of Chloroform posted the biggest effects followed by UV intensity and TiO2 concentration. The impact of various factors on removal rate was higher when Chloroform concentration was lower, TiO2 concentration was higher, and number of UV lamp was higher.