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Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux
Colloidal fouling can be mitigated by membrane surface patterning. This contribution identifies the effect of different pattern geometries on fouling behavior. Nanoscale line-and-groove patterns with different feature sizes were applied by thermal embossing on commercial nanofiltration membranes. Th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767534/ https://www.ncbi.nlm.nih.gov/pubmed/33371519 http://dx.doi.org/10.3390/membranes10120445 |
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author | Malakian, Anna Zhou, Zuo Messick, Lucas Spitzer, Tara N. Ladner, David A. Husson, Scott M. |
author_facet | Malakian, Anna Zhou, Zuo Messick, Lucas Spitzer, Tara N. Ladner, David A. Husson, Scott M. |
author_sort | Malakian, Anna |
collection | PubMed |
description | Colloidal fouling can be mitigated by membrane surface patterning. This contribution identifies the effect of different pattern geometries on fouling behavior. Nanoscale line-and-groove patterns with different feature sizes were applied by thermal embossing on commercial nanofiltration membranes. Threshold flux values of as-received, pressed, and patterned membranes were determined using constant flux, cross-flow filtration experiments. A previously derived combined intermediate pore blocking and cake filtration model was applied to the experimental data to determine threshold flux values. The threshold fluxes of all patterned membranes were higher than the as-received and pressed membranes. The pattern fraction ratio (PFR), defined as the quotient of line width and groove width, was used to analyze the relationship between threshold flux and pattern geometry quantitatively. Experimental work combined with computational fluid dynamics simulations showed that increasing the PFR leads to higher threshold flux. As the PFR increases, the percentage of vortex-forming area within the pattern grooves increases, and vortex-induced shielding increases. This study suggests that the PFR should be higher than 1 to produce patterned membranes with maximal threshold flux values. Knowledge generated in this study can be applied to other feature types to design patterned membranes for improved control over colloidal fouling. |
format | Online Article Text |
id | pubmed-7767534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77675342020-12-28 Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux Malakian, Anna Zhou, Zuo Messick, Lucas Spitzer, Tara N. Ladner, David A. Husson, Scott M. Membranes (Basel) Article Colloidal fouling can be mitigated by membrane surface patterning. This contribution identifies the effect of different pattern geometries on fouling behavior. Nanoscale line-and-groove patterns with different feature sizes were applied by thermal embossing on commercial nanofiltration membranes. Threshold flux values of as-received, pressed, and patterned membranes were determined using constant flux, cross-flow filtration experiments. A previously derived combined intermediate pore blocking and cake filtration model was applied to the experimental data to determine threshold flux values. The threshold fluxes of all patterned membranes were higher than the as-received and pressed membranes. The pattern fraction ratio (PFR), defined as the quotient of line width and groove width, was used to analyze the relationship between threshold flux and pattern geometry quantitatively. Experimental work combined with computational fluid dynamics simulations showed that increasing the PFR leads to higher threshold flux. As the PFR increases, the percentage of vortex-forming area within the pattern grooves increases, and vortex-induced shielding increases. This study suggests that the PFR should be higher than 1 to produce patterned membranes with maximal threshold flux values. Knowledge generated in this study can be applied to other feature types to design patterned membranes for improved control over colloidal fouling. MDPI 2020-12-21 /pmc/articles/PMC7767534/ /pubmed/33371519 http://dx.doi.org/10.3390/membranes10120445 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Malakian, Anna Zhou, Zuo Messick, Lucas Spitzer, Tara N. Ladner, David A. Husson, Scott M. Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux |
title | Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux |
title_full | Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux |
title_fullStr | Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux |
title_full_unstemmed | Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux |
title_short | Understanding the Role of Pattern Geometry on Nanofiltration Threshold Flux |
title_sort | understanding the role of pattern geometry on nanofiltration threshold flux |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767534/ https://www.ncbi.nlm.nih.gov/pubmed/33371519 http://dx.doi.org/10.3390/membranes10120445 |
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