<p>This study investigates the efficiency of a new synthesized ecofriendly heterogeneous catalyst, for the treatment of Methylene Blue (MB) dye from wastewater using the advanced oxidation process. X-ray Diffraction as well as Fourier Transformed InfraRed have been utilized to characterize the synthesized material. The optimal conditions of Advanced Oxidation Process (AOP) have been determined through response surface methodology (RSM) based on a Box–Behnken design (BBD) to enhance dye removal efficiency. The impact of four operating parameters, including contact time (30–90&#xa0;min), [H<sub>2</sub>O<sub>2</sub>]/[catalyst] wt% ratio (1–3), initial MB concentration (10–30&#xa0;mg.L<sup>−1</sup>) and pH value (3–11) have been optimized. The results have been examined and modeled quadratically with the analysis of variance (ANOVA) against input parameters. The experimental and the predicted data agree fairly well with a significant regression coefficient (<i>R</i><sup>2</sup> = 0.99). In addition, the catalyst has exhibited excellent recyclability with conservation of its oxidizing efficiency after multiple reuses.</p>

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Ecofriendly heterogeneous catalyst for efficient dye removal: advanced oxidation process, optimization and textile wastewater treatment

  • Malak Kahloul,
  • Hajer Chemingui,
  • Badra Elabed,
  • Amor Hafiane,
  • Taissire Ben Amor

摘要

This study investigates the efficiency of a new synthesized ecofriendly heterogeneous catalyst, for the treatment of Methylene Blue (MB) dye from wastewater using the advanced oxidation process. X-ray Diffraction as well as Fourier Transformed InfraRed have been utilized to characterize the synthesized material. The optimal conditions of Advanced Oxidation Process (AOP) have been determined through response surface methodology (RSM) based on a Box–Behnken design (BBD) to enhance dye removal efficiency. The impact of four operating parameters, including contact time (30–90 min), [H2O2]/[catalyst] wt% ratio (1–3), initial MB concentration (10–30 mg.L−1) and pH value (3–11) have been optimized. The results have been examined and modeled quadratically with the analysis of variance (ANOVA) against input parameters. The experimental and the predicted data agree fairly well with a significant regression coefficient (R2 = 0.99). In addition, the catalyst has exhibited excellent recyclability with conservation of its oxidizing efficiency after multiple reuses.