Sodium cyanide separation and parameter estimation for reverse osmosis thin film composite polyamide membrane |
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| Affiliation: | 1. State Key Laboratory of Membrane filtration and Processes, Tianjin Polytechnic University, Tianjin, 300387, China;2. School of Environmental Science and Engineering, Tianjin Polytechnic University, Tianjin, 300387, China;3. School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China;1. Department of Urology, Vita Salute San Raffaele University, Milan, Italy;2. Department of Urology, Mayo Clinic, Rochester, MN, USA;3. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA;4. Vattikuti Urology Institute (VUI) and VUI Center for Outcomes Research Analytics and Evaluation, Henry Ford Hospital, Detroit, Detroit, MI, USA;5. Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada;6. Division of Urology and Center for Surgery and Public Health, Brigham and Women''s Hospital, Boston, MA, USA;1. Department of Chemical Engineering, Biotechnology and Environmental Technology, University of Southern Denmark, 5230 Odense M, Denmark;2. Institute for Industrial, Radiophysical and Environmental Safety, Universitat Politècnica de València, 46022 Valencia, Spain;1. Université de Toulouse, INPT, UPS, Laboratoire de Génie Chimique, 118 route de Narbonne, F-31062 Toulouse cedex 09, France;2. CNRS, UMR 5503, Laboratoire de Génie Chimique, F-31062 Toulouse, France;1. College of Resource and Environment, Qingdao Agricultural University, Qingdao 266109, China;2. School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China;3. School of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China |
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| Abstract: | Sodium cyanide separation data are obtained from synthetic binary aqueous solutions using a commercial thin film composite polyamide reverse osmosis membrane. The separation data are analyzed with the help of two membrane transport models, i.e., combined film theory–solution–diffusion (CFSD) model and combined film theory–Spiegler–Kedem (CFSK) model. The membrane transport parameters and mass transfer coefficients are estimated, simultaneously, from both the models, using a graphical method in case of CFSD model, and a nonlinear parameter estimation method for CFSK model. The new phenomena that there exists a maximum in rejection when it is plotted against product flux, which was observed previously using the same membrane for the phenol–water system, is observed in the present case too. This behavior is explained using the above said models. Though both the models predict the membrane performance reasonably, the values of CFSK model are more accurate and the mass transfer coefficients estimated from the CFSK model are comparable with the literature values. |
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