M. A. Behnajady - Department of Chemistry, College of Science, Tabriz Branch, Islamic Azad University, Tabriz, Iran
f Sadeghi Farshi - Department of Chemistry, College of Science, Tabriz Branch, Islamic Azad University, Tabriz, Iran

In recent years, in industrialized countries, especially dyes and textile industries are developing. These industries wastewaters with organic and inorganic compounds that are harmful to the environment. Between these pollutants various pigments are the most materials that caused to pollution [1-2]. Various methods are used to remove these contaminants, such as reverse osmosis, ion exchange, electrolysis, and adsorption [3-4]. In this work, C. I. Acid Red 97 (AR97) removed as a model contaminant from textile industry using NiO nanoparticles has been investigated. In this section the effect of parameters such as temperature, pH, adsorbents dosage and AR97 initial concentration in the efficiency of adsorption process has been investigated. Also in this work, kinetic and isotherm models were evaluated. Results of this process obey from Langmuir isotherm and Langergreen pseudo first order kinetics, respectively. Also, for optimization of the AR97 removal process response surface method (RSM) has been used. Results obtained from RSM have been used from modeling of process with artificial neural network (ANN). Results indicated good agreement between results obtained from ANN and experimental data.

Acid Red 97, NiO nanoparticles, Adsorption, Response surface method (RSM), Artificial neural network (ANN)