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Continuous biosorption of copper and lead in single and binary systems using Sphaerotilus natans cells confined by a membrane: experimental validation of dynamic models
Affiliation:1. Exponent Health Science, Inc., USA;2. Bayer CropScience, USA;3. US EPA Office of Land and Emergency Management, USA;4. US EPA National Health and Environmental Effects Research Laboratory, Office of Research and Development (NHEERL, ORD), USA;5. Syngenta Canada, Canada;6. Charles River Laboratories, Global Developmental, Reproductive and Juvenile Toxicology, USA;7. US EPA National Center for Environmental Assessment, Office of Research and Development (NCEA ORD), USA;8. Consultants in Veterinary Pathology, Inc., USA;9. GEMpath Inc., USA;10. Merck KGaA, Global Pathology & Reproductive Toxicology, Germany;11. University of Saskatchewan, Department of Pathology, Canada;12. Exponent Health Science, Inc., USA;13. BioSTAT Consultants, USA;14. Department of Neuroscience, Carleton University, Ontario, Canada;1. Department of Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China;2. Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment, Wuhan 430074, China
Abstract:Biosorption of heavy metals using membrane reactors as confining devise for free cells is an alternative process to remove these metallic pollutants from aqueous solution. In this paper, experimental data and modelling of heavy metal biosorption onto Sphaerotilus natans cells confined by a ultrafiltration/microfiltration (UF/MF) membrane reactor are reported. Biosorption tests using single and binary metallic solutions (Cu, Pb and Cu–Pb) denoted the biomass affinity (Pb>Cu), the competition among metals simultaneously present in the system, the filtrate flux decline and the change of metal retention coefficient on the membrane for pore plugging by cell fragments. Dynamic modelling is developed considering the unsteady mass balances of the metal in the system and the equilibrium parameters obtained by biosorption batch tests using Langmuir models. Experimental validation of the dynamic models denoted the importance of partial degradation of cells, which is specifically considered in modelling by introducing a time-depending profile for the biomass concentration.
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