Using artificial neural network for modeling of photocatalytic activity of Silver doped titanium dioxide nanoparticles on removal of malachite green

This paper presents a study on the preparation method for Ag-TiO۲ nano particles. Photodeposition of silver on TiO۲ nanoparticles was carried out by adding a desired volume of aqueous AgNO۳. Ag-deposited TiO۲ catalyst was characterised by XRD, TEM, SEM. The Ag-TiO۲ catalyst was evaluated for their photocatalytic activity towards the degradation of Malachite green (MG) under UV irradiation. An artificial neural networks (ANN) model was developed to predict the performance of degradation efficiency by Ag-TiO۲/UV process based on experimental data obtained in a laboratory batch reactor. A comparison between the predicted results of the designed ANN model and experimental data was also conducted. The model can describe the color removal percent under different conditions.

Keywords:

nanoparticle , Ag-TiO۲ , Malachite green , Neural network modeling.