Potential pitfalls in membrane fouling evaluation

Merits of data representation as resistance instead of flux decline in membrane filtration

Journal Article (2021)
Author(s)

B Blankert (King Abdullah University of Science and Technology)

Bart Van der Bruggen (Tshwane University of Technology, Katholieke Universiteit Leuven)

Amy E. Childress (University of Southern California)

Noreddine Ghaffour (King Abdullah University of Science and Technology)

Johannes S. Vrouwenvelder (King Abdullah University of Science and Technology, TU Delft - BT/Environmental Biotechnology)

Research Group
BT/Environmental Biotechnology
Copyright
© 2021 Bastiaan Blankert, Bart Van der Bruggen, Amy E. Childress, Noreddine Ghaffour, J.S. Vrouwenvelder
DOI related publication
https://doi.org/10.3390/membranes11070460
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Bastiaan Blankert, Bart Van der Bruggen, Amy E. Childress, Noreddine Ghaffour, J.S. Vrouwenvelder
Research Group
BT/Environmental Biotechnology
Issue number
7
Volume number
11
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Abstract

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/J0); (II) use resistance vs. specific volume; and (III) use flux-controlled experiments for fouling performance evaluation.