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
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