Using of polyacrylonitrile/Fe2O3 nanocomposite in adsorption of methyl green dye

Document Type : Research Paper

Authors

University of Baghdad, College of Education for Pure Sciences/ Ibn-Haitham, Department of Chemistry, Baghdad/ Iraq

Abstract

Alkaline precipitation process was used to prepare iron oxide nanoparticles (Fe2O3NPs) to be employed in the polyacrylonitrile matrix and produce the polymer nanocomposite, which used as an adsorbent surface in this study. Polyacrylonitrile - Fe2O3 composite was characterized using FT-IR, FE-SEM, EDS and XRD. The ability to adsorb methyl green dye from the aqueous solution was investigated. The following variables have been investigated: adsorbent mass, contact time, initial concentration, and ionic strength, as factors impacting adsorption. Maximum adsorption quantity was (117.803) mg/g that achieved by (0.01) g of adsorbent mass at (308) K and (75) min. To analyze the adsorption data and estimate the maximum adsorption capacity, Freundlich and Langmuir isotherm models were utilized. The results confirmed that the experimental data is more consistent with the Freundlich model. The endothermic nature of the reaction is indicated by the rising adsorption capacity with increasing temperature.Alkaline precipitation process was used to prepare iron oxide nanoparticles (Fe2O3NPs) to be employed in the polyacrylonitrile matrix and produce the polymer nanocomposite, which used as an adsorbent surface in this study. Polyacrylonitrile - Fe2O3 composite was characterized using FT-IR, FE-SEM, EDS and XRD. The ability to adsorb methyl green dye from the aqueous solution was investigated. The following variables have been investigated: adsorbent mass, contact time, initial concentration, and ionic strength, as factors impacting adsorption. Maximum adsorption quantity was (117.803) mg/g that achieved by (0.01) g of adsorbent mass at (308) K and (75) min. To analyze the adsorption data and estimate the maximum adsorption capacity,

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