[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
分别采用饱和硫酸铵法和辛酸—硫酸铵法纯化兔抗酸性红73(acid red 73,AR73)免疫球蛋白G(IgG)。通过二喹啉甲酸(BCA)法、十二烷基硫酸钠—聚丙烯酰胺凝胶电泳(SDS-PAGE)试验、间接ELISA法分别测定IgG的浓度、纯度及效价。结果显示,饱和...分别采用饱和硫酸铵法和辛酸—硫酸铵法纯化兔抗酸性红73(acid red 73,AR73)免疫球蛋白G(IgG)。通过二喹啉甲酸(BCA)法、十二烷基硫酸钠—聚丙烯酰胺凝胶电泳(SDS-PAGE)试验、间接ELISA法分别测定IgG的浓度、纯度及效价。结果显示,饱和硫酸铵法所提IgG浓度为36.44mg/mL,最高效价达1.6×105;辛酸—硫酸铵法所提IgG浓度为15.79mg/mL,最高效价达3.2×105。提示,辛酸—硫酸铵法IgG纯度优于饱和硫酸铵法。展开更多
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.
文摘分别采用饱和硫酸铵法和辛酸—硫酸铵法纯化兔抗酸性红73(acid red 73,AR73)免疫球蛋白G(IgG)。通过二喹啉甲酸(BCA)法、十二烷基硫酸钠—聚丙烯酰胺凝胶电泳(SDS-PAGE)试验、间接ELISA法分别测定IgG的浓度、纯度及效价。结果显示,饱和硫酸铵法所提IgG浓度为36.44mg/mL,最高效价达1.6×105;辛酸—硫酸铵法所提IgG浓度为15.79mg/mL,最高效价达3.2×105。提示,辛酸—硫酸铵法IgG纯度优于饱和硫酸铵法。
