Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment
Faced with a pressing need for membranes with a higher permeability and selectivity, the field of membrane technology can benefit from a systematic framework for designing membranes with the necessary physical characteristics. In this work, we present an approach through which transport modeling is...
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sg-ntu-dr.10356-1410782020-06-04T01:14:29Z Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment Labban, Omar Liu, Chang Chong, Tzyy Haur Lienhard, John Henry School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Singapore Membrane Technology Centre Engineering::Environmental engineering Permeability-selectivity Trade-off Low-pressure Nanofiltration Faced with a pressing need for membranes with a higher permeability and selectivity, the field of membrane technology can benefit from a systematic framework for designing membranes with the necessary physical characteristics. In this work, we present an approach through which transport modeling is employed in fabricating specialized nanofiltration membranes, that experimentally demonstrate enhanced selectivity. Specifically, the Donnan-Steric Pore Model with dielectric exclusion (DSPM-DE) is used to probe for membrane properties desirable in desalination pretreatment. Nanofiltration membranes are systematically fabricated in-house using layer-by-layer (LbL) deposition to validate model predictions and to develop a new specialized membrane for this application. The new membrane presents a 30% increase in permeability and a 50% reduction in permeate hardness relative to state-of-the-art NF membranes. Our results indicate that a ‘specialized’ tight membrane can outperform looser counterparts in both permeability and selectivity. Given the possibility of extending this framework to other applications, the work furthers our understanding of the relationships governing membrane form and function, while having broad potential implications for future nanofiltration membranes used in chemical separation and purification. NRF (Natl Research Foundation, S’pore) EDB (Economic Devt. Board, S’pore) 2020-06-04T01:14:29Z 2020-06-04T01:14:29Z 2018 Journal Article Labban, O., Liu, C., Chong, T. H., & Lienhard, J. H. (2018). Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment. Journal of Membrane Science, 554, 26-38. doi:10.1016/j.memsci.2018.02.053 0376-7388 https://hdl.handle.net/10356/141078 10.1016/j.memsci.2018.02.053 2-s2.0-85042926478 554 26 38 en Journal of Membrane Science © 2018 Elsevier B.V. All rights reserved. |
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Engineering::Environmental engineering Permeability-selectivity Trade-off Low-pressure Nanofiltration Labban, Omar Liu, Chang Chong, Tzyy Haur Lienhard, John Henry Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
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Faced with a pressing need for membranes with a higher permeability and selectivity, the field of membrane technology can benefit from a systematic framework for designing membranes with the necessary physical characteristics. In this work, we present an approach through which transport modeling is employed in fabricating specialized nanofiltration membranes, that experimentally demonstrate enhanced selectivity. Specifically, the Donnan-Steric Pore Model with dielectric exclusion (DSPM-DE) is used to probe for membrane properties desirable in desalination pretreatment. Nanofiltration membranes are systematically fabricated in-house using layer-by-layer (LbL) deposition to validate model predictions and to develop a new specialized membrane for this application. The new membrane presents a 30% increase in permeability and a 50% reduction in permeate hardness relative to state-of-the-art NF membranes. Our results indicate that a ‘specialized’ tight membrane can outperform looser counterparts in both permeability and selectivity. Given the possibility of extending this framework to other applications, the work furthers our understanding of the relationships governing membrane form and function, while having broad potential implications for future nanofiltration membranes used in chemical separation and purification. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Labban, Omar Liu, Chang Chong, Tzyy Haur Lienhard, John Henry |
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Article |
author |
Labban, Omar Liu, Chang Chong, Tzyy Haur Lienhard, John Henry |
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Labban, Omar |
title |
Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
title_short |
Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
title_full |
Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
title_fullStr |
Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
title_full_unstemmed |
Relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
title_sort |
relating transport modeling to nanofiltration membrane fabrication : navigating the permeability-selectivity trade-off in desalination pretreatment |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/141078 |
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1681056364819906560 |