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Cited by 562

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Bioinspired Multifunctional Foam with Self‐Cleaning and Oil/Water Separation

Zhang, Xiyao, Li, Zhou, Liu, Kesong, Jiang, Lei·2013·Advanced Functional Materials

Abstract

Oil/water separation is a worldwide challenge. Learning from nature provides a promising approach for the construction of functional materials with oil/water separation. In this contribution, inspired by superhydrophobic self‐cleaning lotus leaves and porous biomaterials, a facile method is proposed to fabricate polyurethane foam with simultaneous superhydrophobicity and superoleophilicity. Due to its low density, light weight, and superhydrophobicity, the as‐prepared foam can float easily on water. Furthermore, the foam demonstrates super‐repellency towards corrosive liquids, self‐cleaning, and oil/water separation properties, possessing multifunction integration. We expect that this low‐cost process can be readily and widely adopted for the design of multifunctional foams for large‐area oil‐spill cleanup.

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Crossref · 10.1002/adfm.201202662

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Metadata

Authors
Zhang, X., Li, Z., Liu, K., & Jiang, L.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2013-01-14
Volume
23
Issue
22
Pages
2881-2886
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2105492661
Cited by
562
References
1
FWCI
18.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bioinspired Multifunctional Foam with Self‐Cleaning and Oil/Water Separation. https://app.cochat.ai/papers/10.1002/adfm.201202662
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Zhang, X., Li, Z., Liu, K., & Jiang, L. (2013). Bioinspired Multifunctional Foam with Self‐Cleaning and Oil/Water Separation. Advanced Functional Materials. https://doi.org/10.1002/adfm.201202662

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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.