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        Development of a novel method for the removal of diazinon pesticide from aqueous solution and modeling by artificial neural networks (ANN)

        Hossein Esfandian,Abdolraouf Samadi-Maybodi,Mehdi Parvini,Behnam Khoshandam 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.35 No.-

        In this study, perlite was used as a low-cost source of Si and Al to synthesize the sodalite zeolite viahydrothermal synthesis method. Cu2O nanoparticles (30–60 nm) were coated on a bed of sodalitezeolite. Toward this aim, a series of batch adsorption experiments was carried out and the sorption ofdiazinon from aqueous solutions on acid treated zeolite (ATZ) with dilute H2SO4 solutions and modifiedzeolite by Cu2O nanoparticles (MZ) were also determined. Results showed that Cu2O nanoparticles havea significant effect on the diazinon removal processing from aqueous solution. Maximum adsorptionrates were 98.2% (with 0.2, 20, 6 of adsorbent dose, contact time and pH, respectively, for MZ) and 63.4%(with 0.3, 80, 6 of adsorbent dose, contact time and pH, respectively, for ATZ). Three equations, i.e.,Morris–Weber, Lagergren (pseudo first order) and pseudo second order have been applied to study thekinetics of removal process. The diazinon sorption process was well described by the pseudo secondorder (type 2) kinetic model. The Langmuir, Freundlich, Temkin and Dubnin–Randkovich (D–R) modelswere tested on sorption data to estimate the sorption capacity, intensity and energy. Langmuir (type 1)isotherm provided the best fit to the equilibrium data with maximum adsorption capacity of 61.73 and15.10 mg/g for MZ and ATZ, respectively. The thermodynamic parameters DH, DS and DG wereevaluated. Thermodynamic parameters showed that the sorption of diazinon onto zeolite was feasible,spontaneous and exothermic under studied conditions. Artificial neural network (ANN) model was alsoapplied for modeling of diazinon removal from aqueous solution by ATZ and MZ. There was a goodagreement between the experimental and predicted values with seven neurons in hidden layer.

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        Kinetic, isotherm and thermodynamic study of nitrate adsorption from aqueous solution using modified rice husk

        Reza Katal,Hooman Taher Rahmati,Hossein Esfandian,Mazyar Sharifzadeh Baei 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.1

        In this article, we prepared anionic sorbent using rice husk (RC). Anionic rice husk (ARC) structural characteristics and adsorption properties for nitrate removal from aqueous solution were investigated. The sorption of NO3by batch method is carried out. The optimum conditions of sorption were found to be: a sorbent dose of 0.4 g in 100 mL of NO3solution, contact time of 90 min, pH = 7. In optimum condition, removal efficiency was 94.3% for the NO3. The nitrate adsorption process was well described by the pseudo-second-order kinetic model, and the experimental isotherm data fitted well with the Langmuir, Freundlich and Dubinin–Radushkevich (D–R) isotherm models. Thermodynamic parameters such as Gibbs free energy change, enthalpy change and entropy change were calculated and the results showed that the adsorption of nitrate on ARC was spontaneous and exothermic in nature. The effect of other anions were also studied and was found that the anions reduced the nitrate adsorption in the order of carbonate > chloride > phosphate > sulphate. ARC was used for the removal of NO3from real wastewater (urban wastewater) that high performance of adsorbent was considerable.

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