• Title of article

    Adsorption of Methyl Orange on Bentonite: Design, Modeling, and Analysis of Experiments

  • Author/Authors

    Bessaha ، Fatiha Laboratory of Structure, Elaboration and Applications of Molecular Materials (S.E.A.2M.), Department of Process Engineering - Faculty of Science and Technology - University of Mostaganem , Bessaha ، Gania Laboratory of Structure, Elaboration and Applications of Molecular Materials (S.E.A.2M.), Department of Process Engineering - Faculty of Science and Technology - University of Mostaganem , Ziane ، Samira Laboratory of Structure, Elaboration and Applications of Molecular Materials (S.E.A.2M.), Department of Process Engineering - Faculty of Science and Technology - University of Mostaganem , Khelifa ، Amine Laboratory of Structure, Elaboration and Applications of Molecular Materials (S.E.A.2M.), Department of Process Engineering - Faculty of Science and Technology - University of Mostaganem

  • From page
    3306
  • To page
    3323
  • Abstract
    The study examines the possibility of removing Methyl Orange (MO) from aqueous solutions using crude bentonite. SEM-EDX (scanning electron microscopy) and XRD (X-Ray Diffraction) analyses were performed to characterize the material. Batch experiments were performed on the adsorption process to study the effect of contact time, pH, concentration, and temperature. The results indicate that the equilibrium reaches after 2 h of contact. The MO adsorption followed the Langmuir-Freundlich and Baudu models with a maximum adsorption capacity of 308 mg/g. The adsorbed capacity of the material is best at pH=3. The adsorption capacity increases with temperature.  In addition, the Central Composite Design (CCD) in Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used to evaluate the simultaneous interactions of independent variables. The results suggest that the initial concentration was the dominant parameter in the adsorption process. The monolayer model with two energies derived from statistical physics can be adapted to interpret the adsorption data. Physical adsorption forces were predicted to be responsible for the removal of the dye. This study provides new information on the adsorption mechanisms of pollutants commonly found in water.
  • Keywords
    Methyl orange , Modeling , Raw bentonite , Statistical physic
  • Journal title
    Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
  • Journal title
    Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
  • Record number

    2768158