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Cited by 351

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Omniphobic Membrane for Robust Membrane Distillation

Open access
Lin, Shihong, Nejati, Siamak, Boo, Chanhee, Hu, Yunxia, Osuji, Chinedum O., Elimelech, Menachem·2014·Environmental Science & Technology Letters

Abstract

In this work, we fabricate an omniphobic microporous membrane for membrane distillation (MD) by modifying a hydrophilic glass fiber membrane with silica nanoparticles followed by surface fluorination and polymer coating. The modified glass fiber membrane exhibits an anti-wetting property not only against water but also against low surface tension organic solvents that easily wet a hydrophobic polytetrafluoroethylene (PTFE) membrane that is commonly used in MD applications. By comparing the performance of the PTFE and omniphobic membranes in direct contact MD experiments in the presence of a surfactant (sodium dodecyl sulfate, SDS), we show that SDS wets the hydrophobic PTFE membrane but not the omniphobic membrane. Our results suggest that omniphobic membranes are critical for MD applications with feed waters containing surface active species, such as oil and gas produced water, to prevent membrane pore wetting.

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Metadata

Authors
Lin, S., Nejati, S., Boo, C., Hu, Y., Osuji, C. O., & Elimelech, M.
Venue
Environmental Science & Technology Letters
Published
2014-10-02
Volume
1
Issue
11
Pages
443-447
ISSN
2328-8930 (ISSN-L)
OpenAlex
W2332101952
Cited by
351
References
31
FWCI
11.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Omniphobic Membrane for Robust Membrane Distillation. https://app.cochat.ai/papers/10.1021/ez500267p
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Lin, S., Nejati, S., Boo, C., Hu, Y., Osuji, C. O., & Elimelech, M. (2014). Omniphobic Membrane for Robust Membrane Distillation. Environmental Science & Technology Letters. https://doi.org/10.1021/ez500267p

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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.