• Title of article

    Application of central composite design for optimization of the removal of humic substances using coconut copra

  • Author/Authors

    Ean Lee، Terri Zhuan نويسنده Department of Chemistry, Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia Ean Lee, Terri Zhuan , Krongchai، Chanida نويسنده Department of Chemistry, Faculty of Science, Chiang Mai University, Muang District, Chiang Mai, Thailand Krongchai, Chanida , Irwn Lu، Nurul Aida Lu Mohd نويسنده Department of Chemistry, Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia Irwn Lu, Nurul Aida Lu Mohd , Kittiwachana، Sila نويسنده Department of Chemistry, Faculty of Science, Chiang Mai University, Muang District, Chiang Mai, Thailand Kittiwachana, Sila , Sim، Siong Fong نويسنده Department of Chemistry, Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia Sim, Siong Fong

  • Issue Information
    فصلنامه با شماره پیاپی سال 2015
  • Pages
    7
  • From page
    185
  • To page
    191
  • Abstract
    Coconut copra is a potential biosorbent for removal of humic substances from peat swamp runoff. In this paper, response surface methodology was applied to evaluate the optimum conditions for removal of humic substances from peat swamp runoff using modified coconut copra. Batch adsorption experiments were conducted according to central composite design. Results show that the quadratic model is best fitted for predicting the removal efficiency with regression coefficients closer to 1 and a lower root mean square error. Dosage is found to have significant influence on the removal efficiency with p < 0.05. Response surface models further identified the optimum dosage, contact time and temperature at 4.56 g modified coconut copra per 100 mL peat swamp runoff, 42.9 min and 56.8 °C/329°K, respectively attaining the maximum removal efficiency of 88.19 %. The predicted removal efficiency was confirmed experimentally under the modelled optimum conditions; the removal efficiency attained (86.54 %) was in good agreement with the predicted value.
  • Journal title
    International Journal of Industrial Chemistry (IJIC)
  • Serial Year
    2015
  • Journal title
    International Journal of Industrial Chemistry (IJIC)
  • Record number

    2374874