The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bio-Inspired Anti-Oil-Fouling Chitosan-Coated Mesh for Oil/Water Separation Suitable for Broad pH Range and Hyper-Saline Environments
Abstract
Here, we report a bio-inspired chitosan (CS)-based mesh with high separation efficiency, oil-fouling repellency, and stability in a complex liquid environment. The surface of the CS coating maintains underwater superoleophobicity and low oil adhesion (<1 μN) in pure water and hyper-saline solutions, and it can keep stable special wettability in broad pH range environments after the CS mesh is fully cross-linked with glutaraldehyde and then reduced by sodium borohydride to form a stable carbon-nitrogen single bond. The separation process is solely gravity-driven, and the mesh can separate a range of different oil/water mixtures with >99% separation efficiency in hyper-saline and broad pH range conditions. We envision that such a separation method will be useful in oil spill cleanup and industrial oily wastewater treatment in extreme environments.
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Citations
Cites
Wettability of porous surfaces
Cassie, A. B. D., & Baxter, S. (1944) · Transactions of the Faraday Society · doi:10.1039/tf9444000546 · Cited by 13,807
Cited by
Separation Mechanism and Construction of Surfaces with Special Wettability for Oil/Water Separation
Chen, C., Weng, D., Mahmood, A., Chen, S., & Wang, J. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b01293 · Cited by 697
Metadata
- Authors
- Zhang, S., Lu, F., Tao, L., Liu, N., Gao, C., Feng, L., & Wei, Y.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-11-11
- Volume
- 5
- Issue
- 22
- Pages
- 11971-11976
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2332044258
- Cited by
- 224
- References
- 1
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
