Analyzing the Efficiency of Di-FeNPs in Removal of Methyl Orange Dye using Statistical Approach

Abstract

Objective: To study the catalytic potential of green synthesized iron nanoparticles for the removal of methyl orange dye. Method: Response Surface Methodology (RSM) was applied based on the Box-Behnken Design (BBD) which determined the interactive influence of parameters i.e., pH (1-3), adsorbent dose (80-120mg), initial dye concentration (5-15 ppm), contact time (60-90 minutes), and temperature (30-40 o C) on methyl orange removal. Findings: BBD-RSM demonstrated that the Di-FeNPs achieved the maximum efficiency of 98% of methyl orange dye removal. In the present Model, F-value 214.94 implicates the significance of the model. The predicted R 2 of 0.9782 is closer to the adjusted R 2 of 0.989 which shows a good consistency among experimental and predicted values. The experimental data were analyzed by applying Redlich-Peterson (R 2 = 0.982), Elovich (R 2 = 0.981), and Dubinin-Radushkevich (R 2 = 0.991) isotherms models. Novelty and applications: The statistical approach using the Box-Behnken design indicates that this model is specific and accurate for the applied experimental data. Green synthesized iron nanoparticles have the potential to remove (98%) methyl orange dye.