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Screening of factors influencing Cu(II) extraction by soybean oil-based organic solvents using fractional factorial design
- Chang, Siu Hua, Teng, Tjoon Tow, Ismail, Norli
- Journal of environmental management 2011 v.92 no.10 pp. 2580-2585
- aqueous solutions, models, pH, regression analysis, screening, sodium sulfate, solvents, soybeans
- This study aimed to identify the significant factors that give large effects on the efficiency of Cu(II) extraction from aqueous solutions by soybean oil-based organic solvents using fractional factorial design. Six factors (mixing time (t), di-2-ethylhexylphosphoric acid concentration ([D2EHPA]), organic to aqueous phase ratio (O:A), sodium sulfate concentration ([Na₂SO₄]), equilibrium pH (pHₑq) and tributylphosphate concentration ([TBP])) affecting the percentage extraction (%E) of Cu(II) were investigated. A 2⁶⁻¹ fractional factorial design was applied and the results were analyzed statistically. The results show that only [D2EHPA], pHₑq and their second-order interaction ([D2EHPA] × pHₑq) influenced the %E significantly. Regression models for %E were developed and the adequacy of the reduced model was examined. The results of this study indicate that fractional factorial design is a useful tool for screening a large number of variables and reducing the number of experiments.