Intelligent modelling for the elimination of lanthanides (La 3+ , Ce 3+ , Nd 3+ and Eu 3+ ) from aqueous solution by magnetic CoFe 2 O 4 and CoFe 2 O 4 -GO spinel ferrite nanocomposites.

Autor: Asadi R; School of Mining Engineering, College of Engineering, University of Tehran, Tehran, 1439957131, Iran., Abdollahi H; School of Mining Engineering, College of Engineering, University of Tehran, Tehran, 1439957131, Iran., Boroumand Z; School of Mining Engineering, College of Engineering, University of Tehran, Tehran, 1439957131, Iran; Applied Geological Research Center of Iran, Karaj, 3174674841, Iran., Kisomi AS; Applied Geological Research Center of Iran, Karaj, 3174674841, Iran., Karimi Darvanjooghi MH; Department of Civil Engineering, Lassonde School of Engineering, York University, North York, Toronto, Ontario, M3J 1P3, Canada; Centre Technologique des Tesidus, Industriels en Abitibi Temiscamingue, 433 Boulevard du College, J9X0E1, Canada., Magdouli S; Department of Civil Engineering, Lassonde School of Engineering, York University, North York, Toronto, Ontario, M3J 1P3, Canada; Centre Technologique des Tesidus, Industriels en Abitibi Temiscamingue, 433 Boulevard du College, J9X0E1, Canada., Brar SK; Department of Civil Engineering, Lassonde School of Engineering, York University, North York, Toronto, Ontario, M3J 1P3, Canada. Electronic address: satinder.brar@lassonde.yorku.ca.
Jazyk: angličtina
Zdroj: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2022 Sep 15; Vol. 309, pp. 119770. Date of Electronic Publication: 2022 Jul 13.
DOI: 10.1016/j.envpol.2022.119770
Abstrakt: In this research, a novel CoFe 2 O 4 -GO (Graphen Oxide) resulting from the combination of high applicable magnetic and organic base materials and synthesized with a simple and fast co-precipitation route was synthesized for the REEs (Rare Earth Elements) extraction. This adsorbent could remove the La 3+ , Ce 3+ , Nd 3+ and Eu 3+ by maximum adsorption capacity of 625, 626, 714.2, 1111.2 mg/g at optimized pH = 6, respectively. A data-driven model was obtained using Group Method of Data Handling (GMDH)-based Neural Network to estimate the adsorption capacity of these LREEs as a function of time, pH, temperature, adsorbent ζ (zeta)- potential, initial concentration of lanthanides ions, and ε which is defined by the physico-chemical properties of lanthanides. The results clearly indicated that the model estimate the experimental values with good deviation (mostly less than 10%) and it can be used for the prediction of the results from other similar researches with less than 25% deviation. The results of sensitivity analysis indicated that the adsorption capacity is more sensitive to pH of the solution, temperature, and ε. Finally, the desorption studies showed an excellent removal efficiency (97%) at least for three adsorption-desorption cycles. These results claimed that the CoFe 2 O 4 -GO is a highly efficient adsorbent for the REEs extraction.
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Databáze: MEDLINE
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