Synergistic Adsorption of Methyl Orange Using MgO/Clinoptilolite Nanocomposites: Characterization, Isotherm Analysis, and Optimization through Response Surface Methodology

Authorsسیدمهدی موسوی ,حسن ژیان,Hossein Khojasteh,الناز شمس
JournalIranian Journal of Chemistry and Chemical Engineering
Page number1121
Volume number44
IFثبت نشده
Paper TypeFull Paper
Published At2025-04-01
Journal GradeScientific - research
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexJCR

Abstract

A novel adsorbent combining magnesium oxide (MgO) nanostructures with natural clinoptilolite (Cp) zeolite, a cost-effective clay, was developed. This adsorbent aimed to stabilize MgO nanostructures and explore the synergistic effect of the zeolite surface and MgO groups in adsorbing Methyl Orange (MO), a toxic anionic dye. Various adsorbents were synthesized via a co-precipitation method and characterized using X-Ray Diffraction (XRD), scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET) surface area analysis, and Fourier Transform InfraRed (FT-IR) spectroscopy. The findings revealed that the adsorbent with 20 wt.% MgO/Cp exhibited superior performance in MO adsorption. Isotherm data were evaluated using multiple models, including Langmuir, Freundlich, Sipes, Temkin, Flory-Huggins, and Redlich–Peterson. For the 20 wt.% MgO/Cp adsorbent, the Temkin and Langmuir isotherms were deemed most fitting for equilibrium analysis. Kinetic studies favored the Fractal-Langmuir model, and thorough thermodynamic investigations were conducted. Response surface methodology (RSM) was utilized to optimize the effects of pH, temperature, and adsorbent-to-adsorbate ratio (A/a) on dye removal efficiency. The optimal conditions for maximal dye removal were identified at pH 4.9, a temperature of 54.5 °C, and an A/a ratio of 0.129 g/g. Under these conditions, the experimental removal of MO was 98.5%, closely aligning with the predicted value of 99.95%.

tags: Clinoptilolite, Magnesium Oxide, Methyl orange, Response surface methodology, Isotherm models.