The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Polyamide nanofiltration membrane with highly uniform sub-nanometre pores for sub-1 Å precision separation
Open accessAbstract
Separating molecules or ions with sub-Angstrom scale precision is important but technically challenging. Achieving such a precise separation using membranes requires Angstrom scale pores with a high level of pore size uniformity. Herein, we demonstrate that precise solute-solute separation can be achieved using polyamide membranes formed via surfactant-assembly regulated interfacial polymerization (SARIP). The dynamic, self-assembled network of surfactants facilitates faster and more homogeneous diffusion of amine monomers across the water/hexane interface during interfacial polymerization, thereby forming a polyamide active layer with more uniform sub-nanometre pores compared to those formed via conventional interfacial polymerization. The polyamide membrane formed by SARIP exhibits highly size-dependent sieving of solutes, yielding a step-wise transition from low rejection to near-perfect rejection over a solute size range smaller than half Angstrom. SARIP represents an approach for the scalable fabrication of ultra-selective membranes with uniform nanopores for precise separation of ions and small solutes.
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Cited by
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Self-citationLithium Concentration from Salt-Lake Brine by Donnan-Enhanced Nanofiltration
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Metadata
- Authors
- Liang, Y., Zhu, Y., Liu, C., Lee, K.-R., Hung, W.-S., Wang, Z., Li, Y., Elimelech, M., Jin, J., & Lin, S.
- Venue
- Nature Communications
- Published
- 2020-04-24
- Volume
- 11
- Issue
- 1
- Pages
- 2015-2015
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3017697247
- Cited by
- 895
- References
- 22
- FWCI
- 27.46
- Type
- journal article
- Language
- en
- Open access
- gold
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- Liang, Y., Zhu, Y., Liu, C., Lee, K.-R., Hung, W.-S., Wang, Z., Li, Y., Elimelech, M., Jin, J., & Lin, S. (2020). Polyamide nanofiltration membrane with highly uniform sub-nanometre pores for sub-1 Å precision separation. Nature Communications. https://doi.org/10.1038/s41467-020-15771-2
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.