Nanofiltration treatment of tomato paste processing wastewater: process modeling and optimization using response surface methodology

References

• S. Madaieni, M. Ghanei, Reuse as a solution for water shortage in Iran, in: The 2nd International Conference on Water Resources and Arid Environment, Riyadh, Saudi Arabia, 2006.
   Google Scholar
• R.M.A Napoli, A study on treatment of wastewater from a peeled-tomato factory, Agric. Waste 1 (1979) 143–156.
   Web of Science ®Google Scholar
• M. Iaquinta, M. Stoller, C. Merli, Optimization of a nanofiltration membrane process for tomato industry wastewater effluent treatment, Desalination 245 (2009) 314–320.10.1016/j.desal.2008.05.028
   Web of Science ®Google Scholar
• F. Salehi, S.M.A. Razavi, M. Elahi, Purifying anion exchange resin regeneration effluent using polyamide nanofiltration membrane, Desalination 278 (2011) 31–35.
   Web of Science ®Google Scholar
• L.A. Coral, L.A.D.O. Proença, F.D.J. Bassetti, F.R. Lapolli, Nanofiltration membranes applied to the removal of saxitoxin and congeners, Desalin. Water Treat. 27 (2011) 8–17.10.5004/dwt.2011.2034
   Web of Science ®Google Scholar
• S.A. Avlonitis, D.A. Avlonitis, S. Skourtis, D. Vlachos, An experimental and modeling study of nanofiltration processes for mixed electrolyte solutions, Desalin. Water Treat. 7 (2009) 25–34.10.5004/dwt.2009.693
   Web of Science ®Google Scholar
• A. Wahab Mohamad, A modified Donnan-steric-pore model for predicting flux and rejection of dye/NaCl mixture in nanofiltration membranes, Sep. Sci. Technol. 37 (2002) 1009–1029.
   Web of Science ®Google Scholar
• M. Taleb-Ahmed, S. Taha, R. Maachi, G. Dorange, The influence of physico-chemistry on the retention of chromium ions during nanofiltration, Desalination 145 (2002) 103–108.10.1016/S0011-9164(02)00393-4
   Web of Science ®Google Scholar
• M.J. López-Muñoz, A. Sotto, J.M. Arsuaga, Nanofiltration removal of pharmaceutically active compounds, Desalin. Water Treat. 42 (2012) 138–143.10.1080/19443994.2012.683099
   Web of Science ®Google Scholar
• N. Tahri, G. Masmoudi, E. Ellouze, A. Jrad, P. Drogui, R. Ben Amar, Coupling microfiltration and nanofiltration processes for the treatment at source of dyeing-containing effluent, J. Clean. Prod. 33 (2012) 226–235.10.1016/j.jclepro.2012.03.025
   Web of Science ®Google Scholar
• S. Cartier, M.A. Theoleyre, M. Decloux, Treatment of sugar decolorizing resin regeneration waste using nanofiltration, Desalination 113 (1997) 7–17.10.1016/S0011-9164(97)00110-0
   Web of Science ®Google Scholar
• S.H. Mutlu, U. Yetis, T. Gurkan, L. Yilmaz, Decolorization of wastewater of a baker’s yeast plant by membrane processes, Water Res. 36 (2002) 609–616.10.1016/S0043-1354(01)00252-4
   PubMed Web of Science ®Google Scholar
• J. Luo, L. Ding, B. Qi, M.Y. Jaffrin, Y. Wan, A two-stage ultrafiltration and nanofiltration process for recycling dairy wastewater, Bioresour. Technol. 102 (2011) 7437–7442.10.1016/j.biortech.2011.05.012
   PubMed Web of Science ®Google Scholar
• S.M.A. Razavi, A. Mortazavi, S.M. Mousavi, Dynamic modelling of milk ultrafiltration by artificial neural network, J. Membr. Sci. 220 (2003) 47–58.10.1016/S0376-7388(03)00211-4
   Web of Science ®Google Scholar
• G.E.P. Box, K.B. Wilson, On the experimental attainment of optimum conditions, J. R. Stat. Soc. Series B. 13(1) (1951) 1–45.
   Google Scholar
• A.L. Ahmad, C.P. Leo, S.R.A. Shukor, Statistical design of experiments for dye–salt–water separation study using bimodal porous silica/γ-alumina membrane, Desalin. Water Treat. 5 (2009) 80–90.10.5004/dwt.2009.583
   Web of Science ®Google Scholar
• J.M. Gohil, A.K. Suresh, Development of high flux thin-film composite membrane for water desalination: a statistical study using response surface methodology, Desalin. Water Treat. 52 (2013) 5219–5228.
   Web of Science ®Google Scholar
• Y.J. Kim, J. Jung, S. Lee, J. Sohn, Modeling fouling of hollow fiber membrane using response surface methodology, Desalin. Water Treat. 54 (2015) 966–972.
   Web of Science ®Google Scholar
• T. Mohammadi, P. Kazemi, M. Peydayesh, Optimization of vacuum membrane distillation parameters for water desalination using Box–Behnken design, Desalin. Water Treat. (in press) 1–10.
   Google Scholar
• A. Hedayati Moghaddam, J. Shayegan, J. Sargolzaei, T. Bahadori, Response surface methodology for modeling and optimizing the treatment of synthetic starchy wastewater using hydrophilic PES membrane, Desalin. Water Treat. 51 (2013) 7036–7047.10.1080/19443994.2013.797133
   Web of Science ®Google Scholar
• M. Sadeghian, M. Sadeghi, M. Hesampour, A. Moheb, Application of response surface methodology (RSM) to optimize operating conditions during ultrafiltration of oil-in-water emulsion, Desalin. Water Treat. (in press) 1–9.10.1080/19443994.2014.919607
   Web of Science ®Google Scholar
• Design expert, Design Expert Software User’s Guide, ( Version 8/7/0/1). Design expert, Inc., Minneapolis, 2010.
   Google Scholar
• R.L. Droste, Theory and Practice of Water and Wastewater Treatment, Wiley, New York, NY, 1997, pp. 94–132.
   Google Scholar
• J.F. Steffe, Rheological Methods in Food Engineering, Freeman press, East Lansing, 1996, pp. 94–156.
   Google Scholar
• J. Sargolzaei, A. Hedayati Moghaddam, J. Shayegan, Statistical assessment of starch removal from starchy wastewater using membrane technology, Korean J. Chem. Eng. 28 (2011) 1889–1896.10.1007/s11814-011-0050-4
   Web of Science ®Google Scholar
• A. Abbas, N. Al-Bastaki, Modeling of an RO water desalination unit using neural networks, Chem. Eng. J. 114 (2005) 139–143.10.1016/j.cej.2005.07.016
   Web of Science ®Google Scholar
• A. Salahi, I. Noshadi, R. Badrnezhad, B. Kanjilal, T. Mohammadi, Nano-porous membrane process for oily wastewater treatment: Optimization using response surface methodology, J. Environ. Chem. Eng. 1 (2013) 218–225.10.1016/j.jece.2013.04.021
   Google Scholar
• F. Salehi, S.M.A. Razavi, Dynamic modeling of flux and total hydraulic resistance in nanofiltration treatment of regeneration waste brine using artificial neural networks, Desalin. Water Treat. 41 (2012) 95–104.10.1080/19443994.2012.664683
   Web of Science ®Google Scholar
• Y. Babaee, S.M. Mousavi, S. Danesh, A. Baratian, Influence of transmembrane pressure and feed concentration on the retention of aresnic, chromium and cadmium from water by nanofiltration, Environ. Sci. Eng. 52 (2010) 1–6.
   Google Scholar
• K.F. Eckner, E.A. Zottola, Partitioning of skim milk components as a function of pH, acidulant, and temperature during membrane processing, J. Dairy Sci. 75 (1992) 2092–2097.10.3168/jds.S0022-0302(92)77967-3
   Web of Science ®Google Scholar
• J. Wang, Y. Wei, Y. Cheng, Advanced treatment of antibiotic wastewater by nanofiltration: Membrane selection and operation optimization, Desalin. Water Treat. 52 (2013) 7575–7585.
   Web of Science ®Google Scholar
• M. Nilsson, F. Lipnizki, G. Trägårdh, K. Östergren, Performance, energy and cost evaluation of a nanofiltration plant operated at elevated temperatures, Sep. Purif. Technol. 60 (2008) 36–45.10.1016/j.seppur.2007.07.051
   Web of Science ®Google Scholar