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Rajendran RM, Garg S, Bajpai S. Modelling of arsenic (III) removal from aqueous solution using film theory combined Spiegler-Kedem model: pilot-scale study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:13886-13899. [PMID: 33205270 DOI: 10.1007/s11356-020-11613-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 11/09/2020] [Indexed: 06/11/2023]
Abstract
Arsenic contamination in drinking water is recognized as major health hazard worldwide. As reported in literature, more than 19% Indians are consuming lethal levels of arsenic for drinking purposes. In this work, arsenic (III) removal was studied using HFN300 polyethersulfone nanofiltration membrane in spiral wound configuration. Various membrane parameters such as hydraulic permeability (4.87 L m-2 h-1 bar-1), mass transfer coefficient (0.957*10-6 m s-1), reflection coefficient (0.9), and solute permeability (2*10-9 m s-1) were estimated using film theory combined Spiegler-Kedem (FTCSK) model. The higher value of reflection coefficient suggested the impervious nature of nanofiltration (NF) membrane used for arsenic (III) solute rejection. The influence of various operating parameters such as transmembrane pressure, initial feed concentration, and feed flowrate on membrane performance was also examined. It was found that arsenic (III) rejection was dependent on pressure and feed concentration. Result showed that more than 96.4% arsenic (III) rejection was achieved for 50 mg L-1 of feed at optimized conditions. As HFN300 membrane was negatively charged at pH 8 and arsenic (III) was available in neutral solute form, electro-migration was not considered for solute rejection mechanism. Solution diffusion with significant coupling between solute and solvent, steric hindrance effect, convection, and solute-membrane affinity interactions were considered dominant factors for the possible solute rejection mechanism. Rejection efficiency (% R) and permeate flowrate (Q2) were simulated and compared with experimental results. It was found that simulated results were in excellent agreement with the experimental results. The maximum error obtained was within 10% for both % R and Q2. This confirms the efficacy of FTCSK model in predicting arsenic (III) removal using NF membrane. The annualized cost per cubic metre of treated water was estimated as 3.32 $/m3. This further confirms the feasibility of using NF process in removing arsenic from contaminated water.
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Affiliation(s)
- Robin Marlar Rajendran
- Department of Chemical Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, 144011, India
| | - Sangeeta Garg
- Department of Chemical Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, 144011, India
| | - Shailendra Bajpai
- Department of Chemical Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, 144011, India.
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Zhang Z, Huang L, Wang Y, Yang K, Du Y, Wang Y, Kipper MJ, Belfiore LA, Tang J. Theory and simulation developments of confined mass transport through graphene-based separation membranes. Phys Chem Chem Phys 2020; 22:6032-6057. [DOI: 10.1039/c9cp05551g] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The perspectives of graphene-based membranes based on confined mass transport from simulations and experiments for water desalination.
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Affiliation(s)
- Zhijie Zhang
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
| | - Linjun Huang
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
| | - Yanxin Wang
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
| | - Kun Yang
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
| | - Yingchen Du
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
| | - Yao Wang
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
| | - Matt J. Kipper
- Department of Chemical and Biological Engineering
- Colorado State University
- Fort Collins
- USA
| | - Laurence A. Belfiore
- Department of Chemical and Biological Engineering
- Colorado State University
- Fort Collins
- USA
| | - Jianguo Tang
- Institute of Hybrid Materials
- National Center of International Research for Hybrid Materials Technology
- National Base of International Science & Technology Cooperation
- College of Materials Science and Engineering
- Qingdao University
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A Mathematical Modeling of the Reverse Osmosis Concentration Process of a Glucose Solution. Processes (Basel) 2019. [DOI: 10.3390/pr7050271] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
A mathematical modeling of glucose–water separation through a reverse osmosis (RO) membrane was developed to research the membrane’s performance during the mass transfer process. The model was developed by coupling the concentration–polarization (CP) model, which uses one-dimensional flow assumption, with the irreversible thermodynamic Spiegler–Kedem model. A nonlinear parameter estimation technique was used to determine the model parameters Lp (hydraulic permeability constant), σ (reflection coefficient), and Bs (solute transport coefficient). Experimental data were obtained from the treatment of a pre-treated glucose solution using a laboratory-scale RO system, and studies on the validation of the model using experimental results are presented. The calculated results are consistent with the experimental data. The proposed model describes the RO membrane concentration process and deduces the expression of k (mass transfer coefficient in the CP layer). The verification shows that the expression of k well-describes the reverse osmosis mass transfer of a glucose solution.
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Mondal S. Polymeric membranes for produced water treatment: an overview of fouling behavior and its control. REV CHEM ENG 2016. [DOI: 10.1515/revce-2015-0027] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
AbstractProduced water (PW) from the oil/gas field is an important waste stream. Due to its highly pollutant nature and large volume of generation, the management of PW is a significant challenge for the petrochemical industry. The treatment of PW can improve the economic viability of oil and gas exploration, and the treated water can provide a new source of water in the water-scarce region for some beneficial uses. The reverse osmosis (RO) and selective nanofiltration (NF) membrane treatment of PW can reduce the salt and organic contents to acceptable levels for some beneficial uses, such as irrigation, and different industrial reuses. However, membrane fouling is a major obstacle for the membrane-based treatment of PW. In this review, the author discusses the polymeric membrane (mainly RO/NF) fouling during PW treatment. Membrane fouling mechanisms by various types of foulants, such as organic, inorganic, colloidal, and biological matters, are discussed. The review concludes with some of the measures to control fouling by membrane surface modification approaches.
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Padaki M, Isloor AM, Kumar R, Fauzi Ismail A, Matsuura T. Synthesis, characterization and desalination study of composite NF membranes of novel Poly[(4-aminophenyl)sulfonyl]butanediamide (PASB) and methyalated Poly[(4-aminophenyl)sulfonyl]butanediamide (mPASB) with Polysulfone (PSf). J Memb Sci 2013. [DOI: 10.1016/j.memsci.2012.11.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Robinson JP, Tarleton ES, Ebert K, Millington CR, Nijmeijer A. Influence of Cross-Linking and Process Parameters on the Separation Performance of Poly(dimethylsiloxane) Nanofiltration Membranes. Ind Eng Chem Res 2005. [DOI: 10.1021/ie0496277] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- John P. Robinson
- Advanced Separation Technologies Group, Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, U.K., GKSS Research Centre Geesthacht GmbH, Institute of Chemistry, Max-Planck-Strasse 1, 21502 Geesthacht, Germany, Shell Global Solutions, Cheshire Innovation Park, P.O. Box 1, Chester CH1 3SH, U.K., and Shell Global Solutions International BV, P.O. Box 38000, 1030 BN Amsterdam, The Netherlands
| | - E. Steve Tarleton
- Advanced Separation Technologies Group, Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, U.K., GKSS Research Centre Geesthacht GmbH, Institute of Chemistry, Max-Planck-Strasse 1, 21502 Geesthacht, Germany, Shell Global Solutions, Cheshire Innovation Park, P.O. Box 1, Chester CH1 3SH, U.K., and Shell Global Solutions International BV, P.O. Box 38000, 1030 BN Amsterdam, The Netherlands
| | - Katrin Ebert
- Advanced Separation Technologies Group, Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, U.K., GKSS Research Centre Geesthacht GmbH, Institute of Chemistry, Max-Planck-Strasse 1, 21502 Geesthacht, Germany, Shell Global Solutions, Cheshire Innovation Park, P.O. Box 1, Chester CH1 3SH, U.K., and Shell Global Solutions International BV, P.O. Box 38000, 1030 BN Amsterdam, The Netherlands
| | - Chris R. Millington
- Advanced Separation Technologies Group, Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, U.K., GKSS Research Centre Geesthacht GmbH, Institute of Chemistry, Max-Planck-Strasse 1, 21502 Geesthacht, Germany, Shell Global Solutions, Cheshire Innovation Park, P.O. Box 1, Chester CH1 3SH, U.K., and Shell Global Solutions International BV, P.O. Box 38000, 1030 BN Amsterdam, The Netherlands
| | - Arian Nijmeijer
- Advanced Separation Technologies Group, Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, U.K., GKSS Research Centre Geesthacht GmbH, Institute of Chemistry, Max-Planck-Strasse 1, 21502 Geesthacht, Germany, Shell Global Solutions, Cheshire Innovation Park, P.O. Box 1, Chester CH1 3SH, U.K., and Shell Global Solutions International BV, P.O. Box 38000, 1030 BN Amsterdam, The Netherlands
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