Modelling and Optimization of RSM and ANN Techniques in Treatment of Real Textile Wastewater Using Mn-Doped Fe3o4/Zeolite as Heterogeneous Catalyst

Abstract

This study explored the use and effectiveness of Mn-doped Fe3O4/zeolite as a catalyst in removing COD from real textile wastewater through the HF process, using ANN and RSM techniques. The catalyst was characterized by SEM, EDX, BET, XRD, FTIR, and XPS. The catalyst structure was polycrystalline and microporous, with an average pore diameter estimated as 11.24 nm. BET surface area and pore volume of the catalyst were found as 8.9599 m(2)/g and 0.0321 cm(3) /g. Optimum operation conditions are determined as: 1 g/L catalyst dosage, 2 g/L H2O2, 59.9 degrees C temperature, 244.7 rpm shaking speed, pH 2.5, and 99.4 min reaction time. The catalyst showed good performance, achieving 87.6 % and 92.5 % COD and color removal under optimum conditions. center dot OH played a key role and was a dominant oxidative species in removing pollutants. Scavenging of center dot HO2 caused a 17.6 % and 17.5 % decrease in COD and color removal. The removal performances were best described by the BMG kinetic model (R-2 > 0.99). The catalyst can be reused for five cycles, achieving at least 65 % COD removal and 80 % color removal. This study demonstrates that Mn-Fe3O4/zeolite coupled with ANN optimization offers a reliable and sustainable approach for treating real textile effluents.