• Title of article

    Correlating metal ionic characteristics with biosorption capacity using QSAR model Original Research Article

  • Author/Authors

    Chen Can، نويسنده , , Wang Jianlong، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    7
  • From page
    1610
  • To page
    1616
  • Abstract
    The relationship between metal ionic characteristics and the maximum biosorption capacity (qmax) was established using QSAR model based on the classification of metal ions (soft, hard and borderline ions). Ten kinds of metal ions (Ag+, Cs+, Zn2+, Pb2+, Ni2+, Cu2+, Co2+, Sr2+, Cd2+, Cr3+) were selected and the waste biomass of Saccharomyces cerevisiae obtained from a local brewery was used as biosorbent. Eighteen parameters of physiochemical characteristics of metal ions were selected and correlated with qmax. Classification of metal ions could improve the QSAR models and different characteristics were significant in correlating with qmax, such as polarizing power Z2/r or the first hydrolysis constant logKOH or ionization potential IP. image seemed to be suitable for metal ions including soft ions, and Z2/r, log KOH and IP suitable for only soft ions or metal ions excluding soft ions. It provided a new way to predict the biosorptive capacity of metal ions.
  • Keywords
    Ionic characteri tic , accharomyce cerevi iae , Bio orption , Q AR
  • Journal title
    Chemosphere
  • Serial Year
    2007
  • Journal title
    Chemosphere
  • Record number

    725560