Application of statistical design of experiment with desirability function for the removal of organophosphorus pesticide from aqueous solution by low-cost material

 
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2009 (EN)
Application of statistical design of experiment with desirability function for the removal of organophosphorus pesticide from aqueous solution by low-cost material (EN)

Islam, M. A. (EN)

Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείας (EL)
Islam, M. A. (EN)

This paper deals with the multiple response optimization for the removal of organophosphorus pesticide quinalphos [QP: O,O-diethyl O-2-quinoxatinyl phosphorothioate] from the aqueous solution onto low-cost material and tried to overcome the drawbacks of univariate optimization. Used tea leaves were used as low-cost adsorbent and batch equilibration method was followed for this study. A Box-Behnken design was used to develop response model and desirability function was then used for simultaneous optimization of all affecting parameters in order to achieve the highest removal% of quinalphos. The optimum conditions of factors predicted for quinalphos removal% were found to be: pH 8.83, concentration 7 mg L(-1) and dose 0.40 g. Under these conditions, maximum removal% of quinalphos was obtained 96.31%. Considering the above optimum conditions. the adsorption isotherms were developed and provided adsorption capacity of 196.07 mu g g(-1) by using Langmuir equation, indicating that used tea leaves may be applied as a low-cost material for pesticides removal from aqueous matrices. (C) 2009 Elsevier B.V. All rights reserved. (EN)

box-behnken (EN)

Πανεπιστήμιο Ιωαννίνων (EL)
University of Ioannina (EN)

J Hazard Mater (EN)

English

2009

<Go to ISI>://000269162000034



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