The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Highly stable graphene-oxide-based membranes with superior permeability
Open accessAbstract
Increasing fresh water demand for drinking and agriculture is one of the grand challenges of our age. Graphene oxide (GO) membranes have shown a great potential for desalination and water purification. However, it is challenging to further improve the water permeability without sacrificing the separation efficiency, and the GO membranes are easily delaminated in aqueous solutions within few hours. Here, we report a class of reduced GO membranes with enlarged interlayer distance fabricated by using theanine amino acid and tannic acid as reducing agent and cross-linker. Such membranes show water permeance over 10,000 L m−2 h−1 bar−1, which is 10–1000 times higher than those of previously reported GO-based membranes and commercial membranes, and good separation efficiency, e.g., rhodamine B and methylene blue rejection of ~100%. Moreover, they show no damage or delamination in water, acid, and basic solutions even after months.
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Cites
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Cited by
Smith, A. T., LaChance, A. M., Zeng, S., Liu, B., & Sun, L. (2019) · Nano Materials Science · doi:10.1016/j.nanoms.2019.02.004 · Cited by 1,643
2D Laminar Membranes for Selective Water and Ion Transport
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Concentrating brine for lithium recovery using GO composite pervaporation membranes
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Metadata
- Authors
- Thebo, K. H., Qian, X., Zhang, Q., Chen, L., Cheng, H.-M., & Ren, W.
- Venue
- Nature Communications
- Published
- 2018-04-16
- Volume
- 9
- Issue
- 1
- Pages
- 1486-1486
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2800688655
- Cited by
- 580
- References
- 30
- FWCI
- 25.67
- Type
- journal article
- Language
- en
- Open access
- gold
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- Thebo, K. H., Qian, X., Zhang, Q., Chen, L., Cheng, H.-M., & Ren, W. (2018). Highly stable graphene-oxide-based membranes with superior permeability. Nature Communications. https://doi.org/10.1038/s41467-018-03919-0
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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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