Issue
Korean Journal of Chemical Engineering,
Vol.29, No.6, 804-811, 2012
Optimization of lead removal from aqueous solution by micellar-enhanced ultrafiltration process using Box-Behnken design
The main objective of this research was to use Box-Behnken experimental design (BBD) and response surface methodology (RSM) for optimization of micellar-enhanced ultrafiltration (MEUF) to remove lead ions from synthetic wastewater using spiral-wound ultrafiltration membrane. The critical factors selected for the examination were surfactant concentration, molar ratio of surfactant to metal (S/M) and solution pH. A total of 17 experiments were accomplished towards the construction of a quadratic model for both target variables. The experimental results were fitted with a second-order polynomial equation by a multiple regression analysis, and more than 95%, 93% of the variation could be predicted by the models for lead rejection and permeation flux, respectively. The optimum condition was found by using the obtained mathematical models. Optimization indicated that in CSDS=2mM, pH=6.57 and S/M=9.82 maximum flux and rejection efficiency can be achieved, simultaneously.
[References]
  1. Spellman FR, Handbook of water and wastewater treatment plant operations, Lewis Publishers Technology & Engineering, 2003
  2. Patterson, William, J. Industrial wastewater treatment technology, Butterworth, 1985
  3. Sanchez M, Causes and effects of heavy metal pollution, Nova Science Publishers Inc. New York, 2008
  4. Odum HT, Heavy metals in the environment, Lewis Publishers,Science, 2000
  5. Kurniawan TA, Chan GYS, Lo WH, Babel S, Chem. Eng. J., 118(1-2), 83, 2006
  6. Bahadir T, Bakan G, Altas L, Buyukgungor H, Enzyme Microb. Technol., 41(1-2), 98, 2007
  7. Hajiaghababaei L, Badiei A, Ganjali MR, Heydari S, Khaniani Y, Ziarani GM, Desalination, 266(1-3), 182, 2011
  8. Cheryan M, Ultrafiltration and Microfiltration Handbook, University of Illinois, Urbana, Illinois, 1998
  9. Li CW, Liang YM, Chen YM, Sep. Purif. Technol., 45(3), 213, 2005
  10. Sabry R, Hafez A, MaalyKhedr, El-Hassanin A, Desalination, 212(1-3), 165, 2007
  11. Yenphan P, Chanachai A, Jiraratananon R, Desalination, 253(1-3), 30, 2010
  12. Son G, Lee S, Korean J. Chem. Eng., 28(3), 793, 2011
  13. Rahmanian B, Pakizeh M, Maskooki A, J. Hazard. Mater., 184(1-3), 261, 2010
  14. Rahmanian B, Pakizeh M, Mansoori SAA, Abedini R, J. Hazard. Mater., 187(1-3), 67, 2011
  15. Rahmanian B, Pakizeh M, Esfandyari M, Heshmatnezhada F, Maskooki A, J. Hazard. Mater., 192, 585, 2011
  16. Bodalo-Santoyo A, Gomez-Carrasco JL, Gomez-Gomez E, Maximo-Martin MF, Hidalgo-Montesinos AM, Desalination, 160(2), 151, 2004
  17. Rahmanian B, Pakizeh M, Esfandyari M, Maskooki A, Sep.Sci. Technol., 46, 1571, 2011
  18. Montgomery DC, Design and analysis of experiments, 7th Ed., 2009
  19. Wheeler DJ, Understanding industrial experimentation, 2nd Ed., 2006
  20. Ferella F, Prisciandaro M, De Michelis I, Veglio F, Desalination, 207(1-3), 125, 2007
  21. Bouranene S, Fievet P, Szymczyk A, Samar MEH, Vidonne A, J. Membr. Sci., 325(1), 150, 2008
  22. Canizares P, Perez A, Camarillo R, Mazarro R, J. Membr. Sci., 320(1-2), 520, 2008