JOURNAL OF CLEANER PRODUCTION, cilt.189, ss.887-897, 2018 (SCI-Expanded)
Synthetic dyes are water soluble or dispersible aromatic compounds, having potential application in many industries. Discharge of dye contaminated industrial effluents into natural water sources can pose hazardous effects on the living systems. Hence, the treatment of colored effluents using efficient technologies is of major environmental concern. In the present study, a new and efficient geosorbent has been designed by coating alunite surface with manganese oxide to enhance dye adsorption ability of the natural mineral. Adsorption characteristics of the geosorbent were explored by means of optimization studies, isotherm and kinetic model applications. Adsorption yield was found to change by initial pH, geosorbent dosage, contact time, dye concentration and flow rate. High adsorption yield (98.48%) was obtained at pH 2.0 and using 20 mg adsorbent. Adsorption equilibrium was attained within 5 min. Maximum Reactive Orange 13 adsorption capacity of geosorbent was 443.78 mg g(-1). The surface coated geosorbent also exhibited excellent performance in a dynamic flow mode with 97.70% adsorption yield at an optimum flow rate of 0.5 mL min(-1). Breakthrough studies showed that geosorbent can be effectively used for a long time period of 3000 min. Infrared spectroscopy, scanning electron microscopy coupled with energy dispersive X ray analysis, X ray diffraction spectroscopy, atomic force microscopy, Thermogravimetric/differential thermal analysis, surface area and zeta potential measurements were performed to characterize the structure and properties of the geosorbent. Mechanism analysis revealed that Reactive Orange 13 adsorption on the manganese oxide coated alunite through electrostatic interaction, complexation and ion exchange. Real sample decolorization studies revealed the suggested geosorbent can be used as an efficient and economic green sorbent for the removal of Reactive Orange 13 from aquatic media with an adsorption yield of 97.88%. (C) 2018 Elsevier Ltd. All rights reserved.