▎ 摘　　要

Titanium dioxide (TiO2) photocatalyst has gained constant interest in the treatment of wastewater because of its greater stability, lower cost, low-toxicity, high efficiency, and more reactivity under UV radiation. On the other hand, Graphene oxide (GO) possesses high electron mobility, and therefore when GO is combined with TiO2, the photocatalytic activity of TiO2 is increased. In this study, nano-composite was synthesized in a hydrothermal reactor using two types of TiO2 nanoparticles (TiO2 consisting of a mixture of rutile and anatase phase (Type 1) and bioreduced TiO2 (Type 2)) and the efficiency of both the TiO2-GO nanocomposite to remove the drug Carbamazepine (CBZ) was investigated. The TiO2-GO nanocomposite with the Type 1 TiO2 exhibited greater efficiency hence further studies were conducted with that composite. The efficiency of TiO2-GO nanocomposite for the purpose of removing CBZ were investigated in presence of different types of incident radiation like Solar radiation, white light and three type of Ultraviolet radiation (A, B, C). The removal of the drug by TiO2-GO composite has been optimized using response surface methodology and artificial neural network. From this study, the maximum reduction was observed was 91.2% and whereas in case of the RSM optimization study the maximum removal that was observed was 91.7%. The validation of the RSM model was done using the mathematical analysis of the model equation of RSM. Different kinetics models was also analyzed using the experimental data and it was observed that it followed pseudo-second-order kinetics. The optimization using ANN also showed a close interaction with the experimental results.