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The aim of this study was to remove a known pharmaceutics, dexamethasone, from an aqueous solution using clinoptilolite zeolite (CP). CP is a natural, versatile and inexpensive mineral, which has been investigated and applied in the last few decades. Herein, the experiments were carried out in the common conditions of a batch system in room temperature, and the effects of some parameters such as pH of the solution, initial concentration of dexamethasone, adsorbent dose and contact time were studied. Kinetic and isotherm of adsorption processes of dexamethasone on CP were surveyed in the current study. Results revealed that the maximum efficiency (78 %) occurred in pH = 4. The adsorption process followed a pseudo-second-order kinetic model as well as Freundlich and Sips isotherm models fitted with the experimental data well.

Electrocoagulation (EC) is an electrochemical method to treat polluted wastewaters and aqueous solutions. In this research, EC was used to remove Endosulfan from aqueous solution. The results show that the best conditions that obtained in this study are pH = 4, current density = 6.2 mA/cm 2 , initial concentration of Endosulfan = 30 mg/L, and electrolysis time = 60 min. The solution conductivity seems to have no significant effect on the removal efficiency. Artificial neural network (ANN) was utilized to model the experimental data. The model was developed by using three layer feed-forward neural network with eight neurons in the hidden layer for modeling of EC process. A comparison between the predicted results and experimental data gave high correlation coefficient (R 2 = 0.976) and showed that the model is able to predict the removal efficiency.

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