Mechanical-Chemical Electro-catalytic Degradation of Heavy Metals in Produced Water: Statistical Analysis and Process Optimization

To treat produced water (PW), this work uses the mechanical design of the Digital Baffle Electro Photo Catalytic Batch Reactor (DBEPCB) method as a viable supernumerary. Box Behnken Design (BBD) of Response Surface Methodology (RSM) in Digital Baffle Oxidation Reactor studied the electro reactor design consisting of anode and cathode electrodes made of aluminum and iron correspondingly, with a mechanical mixer for mixing the PW with TiO2 concentration to maximize presentation with optimization design methods. A second-order obvious relation between the metal removal and important factors were shown by the high coefficient value (R2 = 0.967). The validity and dependability of the proposed technique were evaluated through additional statistical analysis. Founded on unresolved values, a predicted regression model was created, and it showed excellent agreement with experimental values. Based on important parameters, this model produced the best equation for the experiential model to prediction copper removal (CR). Rendering to the BBD, at pH 9, 300 rpm, 50 min of electrolysis, and 100 ppm of TiO2 concentration, the ratio of CR augmented to 98.4%. According to the study's assumptions, the electro-catalytic technology that has been enhanced may be a dependable way to alleviate the ecological effects of PW and support maintainable wastewater treatment approaches.