Regression models of zinc ion adsorption from aqueous solutions on zeolite from Kholinski deposit, modified with with a sulphur-containing polymer

This article presents regression analysis results of experimental data obtained from a study of the sorption of zinc ions from standardised aqueous solutions using zeolite (clinoptilolite type, Kholinski deposit) modified with a sulphur-containing polymer. Differences in the IR spectra of the modified zeolite were registered before and after sorption of Zn²⁺ from an aqueous solution. The effect of the following technological parameters on the adsorption capacity of the modified zeolite was studied: pH, initial concentration of Zn ions in solution, temperature and sorption time of the studied zinc ion extraction. It was shown that the adsorption activity of the modified zeolite of the Kholinsky deposit cannot be approximated by the classical Freundlich and Langmuir equations, since the Zn (II) ion sorption mechanism is complexly coordinated. It was found that the Freundlich equation describes only 40% of the experimental data on the adsorption of zinc ions by a modified zeolite, while the Langmuir equation describes 71%. Accordingly, regression analysis was used to process the measurement results. The found nonlinear regression models reliably describe the observed patterns of sorption and desorption. Kinetic curves of the solution at different temperature conditions are described by exponential models. Adsorption activity toward zinc ions of activated carbon-, as well as natural- and modified-zeolite sorbents was studied. The comparison revealed significant advantages on the part of the modified zeolite: modification of the zeolite surface with a sulphur-containing polymer made it possible to increase its sorption ability by 4.5 times compared to natural zeolite and 9 times compared to activated carbon.

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