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  • Chem Sci Trans., 2016, 5(3),  pp 523-540  

    DOI:10.7598/cst2016.1249

    Research Article

    Spectrophotometric Determination of the Efficiency of Lignocellulosic Sludge-Based Adsorbents in the Removal of Cr(VI) and Ni(II) Ions from Aqueous Solution

  • K M. TAJUN MEERA BEGUM and N M I. ALHAJI
  • Arignar Anna Govt. Arts & Science College, Karaikal-609602, Puduchery, India
    Khadir Mohideen College, Adirampattinam-614701, Tamilnadu, India
  • Abstract

    Advantages such as environmental friendly material, low cost and high regeneration percentage of Lignocellulosic sludge-based adsorbents like activated sawdust powder (ASDP), Paper Mill Sludge carbon (PMSC) and Activated Paper Mill Sludge Carbon (APMSC) make them as suitable adsorbents for the removal of toxic metals such as Cr(VI) and Ni(II) ions from water and wastewater. The mesoporous carbons namely PMSC and APMSC were most effective in adsorption of cationic pollutants than anionic pollutants. Isotherms data indicated that these activated carbons have high adsorption capacity. The dimensionless factor, RL of the adsorption isotherms revealed that the adsorption process for both ions on both adsorbents was very favorable. The results suggest the feasibility of a good substitute than other commercially available activated carbons produced from natural resources. So, the reuse of organic wastes from any industrial process is a high priority today. Adsorption of Cr(VI) ions and Ni(II) ions using these low-cost sorbents were more effective at pH 2 and pH 5 respectively. Various isotherm, kinetic models and Activation parameters were fitted with experimental data to describe the behavior of diffusion mechanism, solute interaction and nature of adsorption with the adsorbents through batch studies. The best isotherm in these studies was selected by error analysis and the stability of adsorbents was also confirmed through desorption studies

    Keywords

    Sawdust, Paper mill sludge, Heavy metals, adsorption, Activation parameters, Isotherms and kinetics modelling, Chi-square (x2) test analysis

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