Synthesis of TiO_2 nanoparticles in different thermal conditions and modeling its photocatalytic activity with artificial neural network

作     者：Fatemeh Ghanbary Nasser Modirshahla Morteza Khosravi Mohammad Ali Behnajady 

作者机构：Department of Applied ChemistryFaculty of ChemistryNorth Tehran BranchIslamic Azad UniversityTehran***Islamic Republic of Iran Research LaboratoryDepartment of Applied ChemistryTabriz BranchIslamic Azad UniversityTabriz1655Islamic Republic of Iran 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2012年第24卷第4期

页      面：750-756页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 

主　　题：nanoparticle TiO2 4-nitrophenol photocatalysis neural network modeling 

摘      要：Titanium dioxide （TiO2） nanoparticles were prepared by sol gel route. The preparation parameters were optimized in the removal of 4-nitropbenol （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 TiOz 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.