以250 W 金属卤化物灯(λ=365 nm)为光源,利用二氧化钛光催化氧化法研究了酸性红 R 在β-环糊精存在时的光降解行为,考察了影响光催化降解的条件因素。结果表明:对于酸性红 R 质量浓度为50 mg/L 的废水,经60 min 光照,β-环糊精可以提...以250 W 金属卤化物灯(λ=365 nm)为光源,利用二氧化钛光催化氧化法研究了酸性红 R 在β-环糊精存在时的光降解行为,考察了影响光催化降解的条件因素。结果表明:对于酸性红 R 质量浓度为50 mg/L 的废水,经60 min 光照,β-环糊精可以提高酸性红 R 的光催化降解效率24.5%,反应速率常数增加12.5倍;β-环糊精浓度、pH 值和酸性红 R 的初始浓度对酸性红 R 的光催化降解速率有明显的影响。酸性红 R 光催化降解的强化效应主要源于β-环糊精能有效促进酸性红 R 在 TiO_2表面的吸附。展开更多
[TiO2],t and pH are named as the independent variables and the percentage of decolor(DC%)as the dependent variable.A Box-Behnken design and U12(6×4×3)design with three factors were established to form the tr...[TiO2],t and pH are named as the independent variables and the percentage of decolor(DC%)as the dependent variable.A Box-Behnken design and U12(6×4×3)design with three factors were established to form the training set and the validation set,respectively.And back propagation neural network(BPNN)model is adopted in order to establish the model of photo-catalytic degradation about weak acidic dyes mixture of the GRS big red and weak acid red R.The best result shows that the correlation coefficient(R)is 0.9345 and the mean relative error between the predictive value and experimental value(MRE(%))is 3.23,for training set;the value of R is 0.9257,MRE(%)is 2.75,for the validation set.Besides,we discussed the influences of the pH,[TiO2],and t vs.DC% by the BPNN model.The optimized experimental condition obtained is pH=5.0,[TiO2]=1.50g/L,and t=40min based on the BPNN model,and combination with optimization of nonlinear constraints programming.The experimental value of DC is 99.23%,the predictive value is 98.98%,and the relative error is-0.25% between the predictive value and the experimental value,in the optimized experimental condition.Above all these indicate that the model can not only simulate the system of photo-catalytic degradation commendably but also can obtain the optimal experimental conditions.展开更多
文摘以250 W 金属卤化物灯(λ=365 nm)为光源,利用二氧化钛光催化氧化法研究了酸性红 R 在β-环糊精存在时的光降解行为,考察了影响光催化降解的条件因素。结果表明:对于酸性红 R 质量浓度为50 mg/L 的废水,经60 min 光照,β-环糊精可以提高酸性红 R 的光催化降解效率24.5%,反应速率常数增加12.5倍;β-环糊精浓度、pH 值和酸性红 R 的初始浓度对酸性红 R 的光催化降解速率有明显的影响。酸性红 R 光催化降解的强化效应主要源于β-环糊精能有效促进酸性红 R 在 TiO_2表面的吸附。
文摘[TiO2],t and pH are named as the independent variables and the percentage of decolor(DC%)as the dependent variable.A Box-Behnken design and U12(6×4×3)design with three factors were established to form the training set and the validation set,respectively.And back propagation neural network(BPNN)model is adopted in order to establish the model of photo-catalytic degradation about weak acidic dyes mixture of the GRS big red and weak acid red R.The best result shows that the correlation coefficient(R)is 0.9345 and the mean relative error between the predictive value and experimental value(MRE(%))is 3.23,for training set;the value of R is 0.9257,MRE(%)is 2.75,for the validation set.Besides,we discussed the influences of the pH,[TiO2],and t vs.DC% by the BPNN model.The optimized experimental condition obtained is pH=5.0,[TiO2]=1.50g/L,and t=40min based on the BPNN model,and combination with optimization of nonlinear constraints programming.The experimental value of DC is 99.23%,the predictive value is 98.98%,and the relative error is-0.25% between the predictive value and the experimental value,in the optimized experimental condition.Above all these indicate that the model can not only simulate the system of photo-catalytic degradation commendably but also can obtain the optimal experimental conditions.
