Synthesis of TiO2 nanoparticles in different thermal conditions and modeling its photocatalytic activity with artificial neural network.
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.
Department of Applied Chemistry, Faculty of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, 1913674711, Islamic Republic of Iran. F_Ghanbary@iau-tnb.ac.ir
Fatemeh
F
Ghanbary
Nasser
N
Modirshahla
Morteza
M
Khosravi
Mohammad Ali
MA
Behnajady
D002384:Catalysis / Q000528:radiation effects; D003460:Crystallization; D053758:Nanoparticles / Q000737:chemistry* / Q000648:ultrastructure; D016571:Neural Networks, Computer; D009596:Nitrophenols / Q000302:isolation & purification; D013696:Temperature; D013997:Time Factors; D014025:Titanium / Q000737:chemistry*; D014466:Ultraviolet Rays; D014961:X-Ray Diffraction
D009596:Nitrophenols; C009495:titanium dioxide; D014025:Titanium; C024836:4-nitrophenol