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A review of reverse osmosis membrane fouling and control strategies

Open access
Jiang, Shanxue, Li, Yuening, Ladewig, Bradley P.·2017·Science of The Total Environment

Abstract

Reverse osmosis (RO) membrane technology is one of the most important technologies for water treatment. However, membrane fouling is an inevitable issue. Membrane fouling leads to higher operating pressure, flux decline, frequent chemical cleaning and shorter membrane life. This paper reviews membrane fouling types and fouling control strategies, with a focus on the latest developments. The fundamentals of fouling are discussed in detail, including biofouling, organic fouling, inorganic scaling and colloidal fouling. Furthermore, fouling mitigation technologies are also discussed comprehensively. Pretreatment is widely used in practice to reduce the burden for the following RO operation while real time monitoring of RO has the advantage and potential of providing support for effective and efficient cleaning. Surface modification could slow down membrane fouling by changing surface properties such as surface smoothness and hydrophilicity, while novel membrane materials and synthesis processes build a promising future for the next generation of RO membranes with big advancements in fouling resistance. Especially in this review paper, statistical analysis is conducted where appropriate to reveal the research interests in RO fouling and control.

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Metadata

Authors
Jiang, S., Li, Y., & Ladewig, B. P.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2017-10
Volume
595
Pages
567-583
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2604461068
Cited by
983
References
1
FWCI
36.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A review of reverse osmosis membrane fouling and control strategies. https://app.cochat.ai/papers/10.1016/j.scitotenv.2017.03.235
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Jiang, S., Li, Y., & Ladewig, B. P. (2017). A review of reverse osmosis membrane fouling and control strategies. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2017.03.235

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.