Central composite design optimization of Ce(iii) ion removal from aqueous solution using modified SBA-15 mesoporous silica. (13th April 2016)

• Record Type: Journal Article
• Authors: Zare-Dorabei, Rouholah; Jalalat, Vahideh; Tadjarodi, Azadeh
• Is Part Of: New journal of chemistry. Volume 40:Number 6(2016:Jun.)
• Page Start: 5128
• Page End: 5134
• Publication Date: 2016-04-13
• Subjects: Chemistry -- Periodicals; Chimie -- Périodiques; 540
• DOI: 10.1039/c6nj00239k
• Languages: English
• ISSNs: 1144-0546

Abstract

Abstract : HESI-SBA-15 was used as an effective adsorbent for cerium ion removal in real samples. Abstract : In this study, a central composite design (CCD) was applied to evaluate the interactive effects of adsorption variables and to optimize the adsorption process of Ce(iii ) ions from aqueous solutions onto modified mesoporous silica SBA-15 with N -(2-hydroxyethyl) salicylaldimine (HESI-SBA-15). HESI as a selective and sensitive Shciff base after being immobilized on SBA-15 showed good and repeatable results for the removal of Ce(iii ) ions. The effect of pH, adsorbent mass, shaking time, and initial concentration of cerium ions was studied by a batch method with inductively coupled plasma/optical emission spectrometry (ICP-OES). The optimal condition was obtained as pH 6; amount of adsorbent, 0.07 g; contact time, 80 min; and concentration of Ce(iii ) ions, 30 mg L −1 . Under the optimal conditions, adsorption was studied in real water samples (99.63% in tap water, 98.20% in river water, and 98.30% in well water), wherein repeatability (relative standard deviation (RSD) 0.006–0.343%) and good recovery (95–97%) were obtained. The adsorption isotherm of cerium was investigated by the Langmuir, Freundlich, and Temkin isotherm models. The Langmuir model was the best model and showed a capacity of 154.86 mg g −1 for Ce(iii ) ions. The adsorption kinetics was tested with pseudo-first-order and pseudo-second-order models and the results showed that the kinetics of the adsorption process was fitted by the pseudo-second-order model.