Response surface methodology, and artificial neural network model for removal of textile dye Reactive Yellow 105 from wastewater using Zeolitic Imidazolate-67 modified by Fe 3 O 4 nanoparticles.

The applicability of Zeolitic Imidazolate-67, Modified by Fe 3 O 4 Nanoparticles, was studied for removing textile dye Reactive yellow 105 from wastewater by adsorption method using response surface methodology (RSM). For the adsorption characterization of the adsorbent used in HE-4G dye adsorption, BET, FTIR, XRD, and SEM analyses were performed. The impacts of variables, including initial HE-4G dye concentration ( X 1 ), pH ( X 2 ), adsorbent dosage ( X 3 ), and sonication time ( X 4 ), the highest removal efficiency as 98%, 10 mg/L initial concentration, pH 6, 0.025 g adsorbent dosage, and 6.0 min time respectively. Adsorption equilibrium and kinetic data it, that data were for the Langmuir isotherm, pseudo-second-order kinetics, and maximum adsorption capacity (105.0 mg/g), respectively. Thermodynamic parameters indicated HE-4G dye adsorption is feasible, spontaneous and exothermic. Promising treatment capabilities of the ZIF-67-Fe 3 O 4 NPs have been during the comparative adsorption removal of HE-4G dye from DI water against spiked natural water samples and synthetic Na + , K + , Ca 2+ , and Mg 2+ solutions. The observed outcome is the suitability of the artificial neural network model as a tool for mean square error, (MSE ANN = 0.53, and R 2 = 0.9926) for removing HE-4G dye. Results that ZIF-67-Fe 3 O 4 NPs, like being recyclable, and cost-efficient made it a promising absorbent for wastewater.