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Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration
The manner in which membrane-fouling experiments are conducted and how fouling performance data are represented have a strong impact on both how the data are interpreted and on the conclusions that may be drawn. We provide a couple of examples to prove that it is possible to obtain misleading conclu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304183/ https://www.ncbi.nlm.nih.gov/pubmed/34206467 http://dx.doi.org/10.3390/membranes11070460 |
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author | Blankert, Bastiaan Van der Bruggen, Bart Childress, Amy E. Ghaffour, Noreddine Vrouwenvelder, Johannes S. |
author_facet | Blankert, Bastiaan Van der Bruggen, Bart Childress, Amy E. Ghaffour, Noreddine Vrouwenvelder, Johannes S. |
author_sort | Blankert, Bastiaan |
collection | PubMed |
description | The manner in which membrane-fouling experiments are conducted and how fouling performance data are represented have a strong impact on both how the data are interpreted and on the conclusions that may be drawn. We provide a couple of examples to prove that it is possible to obtain misleading conclusions from commonly used representations of fouling data. Although the illustrative example revolves around dead-end ultrafiltration, the underlying principles are applicable to a wider range of membrane processes. When choosing the experimental conditions and how to represent fouling data, there are three main factors that should be considered: (I) the foulant mass is principally related to the filtered volume; (II) the filtration flux can exacerbate fouling effects (e.g., concentration polarization and cake compression); and (III) the practice of normalization, as in dividing by an initial value, disregards the difference in driving force and divides the fouling effect by different numbers. Thus, a bias may occur that favors the experimental condition with the lower filtration flux and the less-permeable membrane. It is recommended to: (I) avoid relative fouling performance indicators, such as relative flux decline (J/J(0)); (II) use resistance vs. specific volume; and (III) use flux-controlled experiments for fouling performance evaluation. |
format | Online Article Text |
id | pubmed-8304183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83041832021-07-25 Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration Blankert, Bastiaan Van der Bruggen, Bart Childress, Amy E. Ghaffour, Noreddine Vrouwenvelder, Johannes S. Membranes (Basel) Article The manner in which membrane-fouling experiments are conducted and how fouling performance data are represented have a strong impact on both how the data are interpreted and on the conclusions that may be drawn. We provide a couple of examples to prove that it is possible to obtain misleading conclusions from commonly used representations of fouling data. Although the illustrative example revolves around dead-end ultrafiltration, the underlying principles are applicable to a wider range of membrane processes. When choosing the experimental conditions and how to represent fouling data, there are three main factors that should be considered: (I) the foulant mass is principally related to the filtered volume; (II) the filtration flux can exacerbate fouling effects (e.g., concentration polarization and cake compression); and (III) the practice of normalization, as in dividing by an initial value, disregards the difference in driving force and divides the fouling effect by different numbers. Thus, a bias may occur that favors the experimental condition with the lower filtration flux and the less-permeable membrane. It is recommended to: (I) avoid relative fouling performance indicators, such as relative flux decline (J/J(0)); (II) use resistance vs. specific volume; and (III) use flux-controlled experiments for fouling performance evaluation. MDPI 2021-06-22 /pmc/articles/PMC8304183/ /pubmed/34206467 http://dx.doi.org/10.3390/membranes11070460 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Blankert, Bastiaan Van der Bruggen, Bart Childress, Amy E. Ghaffour, Noreddine Vrouwenvelder, Johannes S. Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration |
title | Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration |
title_full | Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration |
title_fullStr | Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration |
title_full_unstemmed | Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration |
title_short | Potential Pitfalls in Membrane Fouling Evaluation: Merits of Data Representation as Resistance Instead of Flux Decline in Membrane Filtration |
title_sort | potential pitfalls in membrane fouling evaluation: merits of data representation as resistance instead of flux decline in membrane filtration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304183/ https://www.ncbi.nlm.nih.gov/pubmed/34206467 http://dx.doi.org/10.3390/membranes11070460 |
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