| Affiliation: | 1. Faculty of Materials Science and Engineering, “Gheorghe Asachi” Technical University of Iasi, Iasi, Romania Faculty of Chemistry, “Alexandru Ioan Cuza” University of Iasi, Iasi, Romania;2. Faculty of Materials Science and Engineering, “Gheorghe Asachi” Technical University of Iasi, Iasi, Romania;3. School of Mechanical Engineering, National Technical University of Athens, Zografou, Athens, Greece;4. Faculty of Chemistry, “Alexandru Ioan Cuza” University of Iasi, Iasi, Romania;5. Faculty of Mechanics, “Gheorghe Asachi” Technical University of Iasi, Iasi, Romania;6. School of Chemical Engineering, National Technical University of Athens, Zografou, Athens, Greece |
| Abstract: | Nanocrystalline ferrites are known to be used in different applications, including industrial wastewater management. For environmental water issues, one of the most widely applied techniques is the adsorption of pollutants. The adsorption capacity of Congo red (CR) dye on different MFe2O4 (M = Co2+, Mg2+, Mn2+, Ni2+, and Zn2+) ferrites, synthesized by coprecipitation method, was determined. Specific isotherms and kinetic models were used to characterize the adsorption process. Interesting results were obtained for MgFe2O4 with adsorption capacity ranging from 39% up to 70% dependent on the initial dye concentration. Furthermore, an artificial intelligence model based on neural network was developed in order to model the adsorption rates followed by the generation of 3D adsorption rate models for each type of synthesized ferrite. These models were obtained in order to provide information about the particle-dye system`s kinetics at various initial CR concentration. Specific techniques were used to characterize the functionalized magnetic particles. |
