A modeling and optimization study by response surface methodology (RSM) on UO22+ ions adsorption using nano-MgO particles prepared with combustion synthesis
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Abstract
Nano-MgO particles were made for the adsorption of UO22+ from aqueous solutions. The obtained MgO nanoparticles were characterized by FTIR, XRD and SEM. The adsorption of UO22+ by particle was optimized with RSM. Coefficients of correlation (R-2 = 0.99) and probability F-values (F = 3.1 10(-10)) reveal that the model is very good for the experimental data. Under optimum conditions, the adsorption capacity of nano-MgO particles was found to be 128.4 mg g(-1). The results showed that nano-MgO particles were suitable for the sorption of UO22+ ions from aqueous solutions. In addition, the adsorption isotherms and the thermodynamic parameters were examined.
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AQUEOUS-SOLUTION , URANIUM VI , REMOVAL , NANOPARTICLES , METAL , ACID , EQUILIBRIUM , EXTRACTION , COMPOSITE , CADMIUM