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    Application of Response Surface Methodology for Optimization of Copper Removal Using a Novel Polymeric Adsorbent
    (Springer, 2022) Unugul, Tuba; Nigiz, Filiz Ugur; Bozbas, Seda Karayunlu
    Depending on the increase in the world population, the need for consumption and industrial resources is increasing day by day. In the wastewater caused by industrial production, a serious amount of heavy metals and water pollution caused by inorganic dyestuffs occur. In this study, graphene nanoplate/natural zeolite/sodium alginate bio-composite adsorbent was prepared and copper removal from wastewater by adsorption method was investigated. The characterization of the adsorbent was carried out by Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction and Brunauer-Emmett-Teller. In addition to batch adsorption tests, isotherm, kinetic and thermodynamic studies, experimental optimization was carried out with experimental parameters determined by the surface response methodology. Four experimental parameters (adsorbent dosage, metal concentration, solution pH, and contact time) were evaluated in a versatile way to determine the efficiency of heavy metal adsorption. The highest copper removal was obtained as 92.9% and 91.4%, respectively, in the experimental and model study at the adsorbent dosage of 0.5 g, the solution pH of 4.5, and the copper concentration of 20 ppm. The parametric results was meet with the optimization results with an R-2 value of 0.9834. The three most commonly used adsorption isotherms at 25 degrees C were calculated. The high R-2 value was found to be 0.9834 for the Langmuir isotherm model. It was determined that the adsorption kinetics matched the pseudo-second-order kinetics.