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Recent Development of Advanced Materials with Special Wettability for Selective Oil/Water Separation

Ma, Qinglang, Cheng, Hongfei, Fane, Anthony G., Wang, Rong, Zhang, Hua·2016·Small

Abstract

The increasing number of oil spill accidents have a catastrophic impact on our aquatic environment. Recently, special wettable materials used for the oil/water separation have received significant research attention. Due to their opposing affinities towards water and oil, i.e., hydrophobic and oleophilic, or hydrophilic and oleophobic, such materials can be used to remove only one phase from the oil/water mixture, and simultaneously repel the other phase, thus achieving selective oil/water separation. Moreover, the synergistic effect between the surface chemistry and surface architecture can further promote the superwetting behavior, resulting in the improved separation efficiency. Here, recently developed materials with special wettability for selective oil/water separation are summarized and discussed. These materials can be categorized based on their oil/water separating mechanisms, i.e., filtration and absorption. In each section, representative studies will be highlighted, with emphasis on the materials wetting properties and innovative aspects. Finally, challenges and future research directions in this emerging and promising research field will be briefly described.

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Metadata

Authors
Ma, Q., Cheng, H., Fane, A. G., Wang, R., & Zhang, H.
Venue
Small
Publisher
Wiley
Published
2016-03-22
Volume
12
Issue
16
Pages
2186-2202
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2275419265
Cited by
838
References
4
FWCI
43.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent Development of Advanced Materials with Special Wettability for Selective Oil/Water Separation. https://app.cochat.ai/papers/10.1002/smll.201503685
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Ma, Q., Cheng, H., Fane, A. G., Wang, R., & Zhang, H. (2016). Recent Development of Advanced Materials with Special Wettability for Selective Oil/Water Separation. Small. https://doi.org/10.1002/smll.201503685

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

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