Optimization and Modeling the Processes of Green Magnetite Nanoparticle: Synthesis, Photo Catalysis Tendency and Kinetics of Removing Organic Dye from Aqueous Solutions

Abstract

Green magnetite nanoparticles (NPs) are synthesized, characterized and employed for degradation Methylene Blue (MB) from aqueous solutions. The effect of the concentrations of the NPs and MB on NPs yield and removal efficiency is optimized and modeled using two factorial central composite experimental design. The analysis of variance confirmed that the concentration of iron metal salts seemed more significant than plant extract. The developed mathematical model is estimated with high R2 reflecting its accuracy. The results proved that the removal efficiency of MB increases up to an optimum of 82.07 % when using 0.17 g of the nano photo catalyst versus 10.8 ppm of MB with sunlight irradiation time of 200 min. The dye degradation kinetic results revealed that photo catalytic degradation follow pseudo-first-order model. Response Surface Methodology proved as an efficient tool for optimization and modeling the processes of NPs production and removing of organic pollutants from aqueous solutions.

Keywords

• green magnetite nanoparticles
• methylene blue
• removal efficiency
• optimization
• modeling
• metheylen blue degradation rate