Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network

Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration organic, oil, and chrome (Cr). This study successfully prepared applied bimetallic Fe/Cu nanoparticles (Fe/Cu NPs) for removal. In beginning, NPs was equilibrated by pure aqueous solution at different operating conditions (lab scale), then nanomaterial in semi full scale. The indicated that able to adsorb 68% 33% Cr initial concentrations 1 9 mg/L, respectively. removal occurred pH 3 using 0.6 g/L dose, stirring rate 200 r/min, contact time 20 min, constant temperature ± 2ºC. Adsorption isotherm proved Khan model appropriate with minimum error sum 0.199. According khan, maximum uptakes 20.5 mg/g Cr. Kinetic results Pseudo Second Order mechanism least possible 0.098 adsorption chemisorption. Response surface methodology (RSM) equation developed significant p-value = 0 label relations between experimental parameters. Artificial neural networks (ANNs) were performed structure 5-4-1 achieved effect dose dominated variable Application real tannery showed its ability degrade disinfect organic biological contaminants addition adsorption. reduction chemical oxygen demand (COD), (BOD), total suspended solids (TSS), phosphorus (TP), nitrogen (TN), Cr, hydrogen sulfide (H 2 S), oil reached 61.5%, 49.5%, 44.8%, 100%, 38.9%, 96.3%, 88.7%, 29.4%,