Box–Behnken design for removal of uranium(VI) from aqueous solution using poly(ethylene glycol) based dicationic ionic liquid impregnated chitosan

Abstract

Poly(ethylene glycol) bis(methylimidazolium) di[bis(trifluoromethylsulfonyl)imide] was synthesized as an ionic liquid and impregnated onto chitosan. The removal of uranium(VI) ions from aqueous solution was investigated with batch sorption tests using ionic liquid impregnated chitosan. Response surface methodology based on 3 level Box-Behnken design was applied to analyze the effect of initial pH (4-6), initial concentration (20-60 mg L −1) , contact time (15-105 min), and temperature (30-50°C) on the uptake capacity of uranium(VI). Main effect of initial concentration, quadratic effect of contact time, and dual effect of initial pH and contact time were found statistically significant based on analysis of variance (ANOVA). Probability F-value (F = 1.49 ×10 −6) and correlation coefficient (R 2 = 0.96) point out that the proposed model is compatible with experimental data. The maximum uptake capacity of uranium(VI) was found as 28.48 mg g −1 at initial pH 4, initial concentration 60 mg L −1 , contact time of 70 min, and a temperature of 50°C. Sorption kinetics followed a pseudo-second-order model and Freundlich model was obtained to fit the sorption data. The presence of competing ions slightly reduced uranium(VI) sorption and the selectivity order can be given as UO 2+ 2 >Zn 2+ >Ni 2+ .

Preparation, Physicochemical Properties, and Structural Characterization of Resistant Starch-Aspirin-Loaded Microspheres

“…These designs consisted of 22 factorials in each pair of factors, with all other factors held constant at their mid-level, plus the addition of a few center points. Box-Behnken designs require factors to be varied over 3 levels and they usually require fewer total runs than the central composite design and makes experimentation more economical [ 28 ]. The most suitable multivariate regression equation we obtained fit the functional relationships between factors and effect size.…”