2023
DOI: 10.1021/acsaenm.3c00162
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Removal of Uranium from Aqueous Solution and Simulated Seawater Using a Mixed Matrix Membrane Fabricated by Cyclophosphazene and Triazine-Based Inorganic–Organic Hybrid Material

Abstract: The efficient removal of uranium ions from aqueous and simulated seawater is reported by using a mixed matrix membrane (MMM-2) fabricated by cyclophosphazene and triazine-based inorganic−organic hybrid material (CTHM-2) as the adsorbent. CTHM-2 with a specific surface area of 76 m 2 g −1 was synthesized within 60 min by microwave-assisted polycondensation reaction. In batch mode adsorption, the concentration of uranium has been decreased from 5 ppm to <15 ppb (permissible limit of uranium by the World Health O… Show more

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Cited by 6 publications
(7 citation statements)
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“…The decrease in randomness during the adsorption process is shown by a negative value of Δ S . Based on several reports, the negative Δ H value shows the exothermic nature of adsorption. Furthermore, the Δ G values represent the degree of spontaneity of the adsorption process, which, as determined by the aforementioned eq S16, at 298, 308, 318, 328, and 338 K are −1.8, −12.5, −12.2, −11.6 and −9.8 kJ mol –1 , respectively.…”
Section: Results and Discussionmentioning
confidence: 98%
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“…The decrease in randomness during the adsorption process is shown by a negative value of Δ S . Based on several reports, the negative Δ H value shows the exothermic nature of adsorption. Furthermore, the Δ G values represent the degree of spontaneity of the adsorption process, which, as determined by the aforementioned eq S16, at 298, 308, 318, 328, and 338 K are −1.8, −12.5, −12.2, −11.6 and −9.8 kJ mol –1 , respectively.…”
Section: Results and Discussionmentioning
confidence: 98%
“…Regression analysis is a widely used method for linear and nonlinear methods to obtain the adsorption and kinetic model using MATLAB software. For adsorption isotherm studies, two pronounced methods, i.e., Langmuir and Freundlich, are used. Linear and nonlinear fittings are applied to the experimental data (Figures a and S6) for the estimation of the corresponding parameters. The equations representing both Langmuir and Freundlich isotherms for linear and nonlinear fitting are given in eqs S6–S9. The linear and nonlinear versions of the isotherms were fitted to the experimental data using linear and nonlinear regression techniques.…”
Section: Results and Discussionmentioning
confidence: 99%
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