(533m) Decrease of Biological Contamination from Municipal Wastewater By Entrapped Nzvi in Cellulose Acetate: Operating Conditions, Reduction Mechanisms with AI Applications

Nanotechnology, particularly Zero Valent metals, is a cutting-edge technique for the adsorption and degradation of a variety of wastewater pollutants. This study prepared an entrapped nano Zero Valent Iron (nZVI) in natural cellulose acetate (CA) polymer to be used for biological oxygen demand (BOD) removal. The BOD was supplied using a real wastewater, where the wastewater samples were collected from wastewater treatment plant (WWTP), measured, and diluted with distilled water. Variations in BOD levels were used to assess the elimination of biological pollutants. At various experimental conditions of pH, dosage (g/L), contact duration (min), stirring rate (rpm), and initial concentrations, the influence of operational parameters was investigated. Adsorption isotherm and kinetic studies were also performed in order to determine equilibrated reaction mechanisms. The Response Surface Methodology (RSM) relationships between variables and removal percentages were investigated using linear regression analysis. The importance detections of Artificial Intelligence Neural Networks (ANNs) were built using a nonlinear feed-forward back-propagation system. Finally, this research determined that effective BOD removal percentages reached 76.8%. At pH 7, using a wet dose of 3.0 g/L, 25 minutes, and 200 rpm, the maximum removal efficiency for an initial BOD concentration of 300 mg/L was observed. CA/nZVI preferred the Khan isotherm model and Pseudo Second Order (P.S.O) with the lowest summation of errors 0.0934 and 0.132, respectively, according to the adsorption results and kinetic analysis. With an error range of (-2.5, +7.5 percent), the RSM and ANN results successfully estimated the removal efficiency.