Synthesis of TiO2 nanoparticles in different thermal conditions and modeling its photocatalytic activity with artificial neural network

被引:26
作者
Ghanbary, Fatemeh [1 ]
Modirshahla, Nasser [2 ]
Khosravi, Morteza [1 ]
Behnajady, Mohammad Ali [2 ]
机构
[1] Islamic Azad Univ, Dept Appl Chem, Fac Chem, N Tehran Branch, Tehran 1913674711, Iran
[2] Islamic Azad Univ, Res Lab, Dept Appl Chem, Tabriz Branch, Tabriz 1655, Iran
关键词
nanoparticle; TiO2; 4-nitrophenol; photocatalysis; neural network modeling; CI ACID YELLOW-23; NANOCRYSTALLINE TIO2; DYE SOLUTION; AZO-DYE; DEGRADATION; DECOLORIZATION; OPTIMIZATION; PARAMETERS; PHOTODEGRADATION; FENTON;
D O I
10.1016/S1001-0742(11)60815-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Titanium dioxide (TiO2) nanoparticles were prepared by sol gel route. The preparation parameters were optimized in the removal of 4-nitrophenol (4-NP). All catalysts were analyzed by X-ray diffraction (XRD) and scanning electron microscopy (SEM). An artificial neural network model (ANN) was developed to predict the photocatalytic removal of 4-NP in the presence of TiO2 nanoparticles prepared under desired conditions. The comparison between the predicted results by designed ANN model and the experimental data proved that modeling of the removal process of 4-NP using artificial neural network was a precise method to predict the extent of 4-NP removal under different conditions.
引用
收藏
页码:750 / 756
页数:7
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