The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Nanoporous Membranes with Ultrahigh Selectivity and Flux for the Filtration of Viruses
Abstract
A double-layered nanoporous membrane suitable for virus filtration has been fabricated. The top layer has cylindrical pores with diameters of 15 nm and a narrow pore size distribution (see figure). The bottom support layer is a conventional microfiltration membrane. This asymmetric membrane completely blocks human rhinovirus type 14 (colored green) from penetrating into pores, while proteins such as bovine serum albumin (colored yellow) freely pass through the pores.
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Cites
Bradford, M. M. (1976) · Analytical Biochemistry · doi:10.1016/0003-2697(76)90527-3 · Cited by 255,302
Cited by
Directing the self-assembly of block copolymers
Darling, S. B. (2007) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2007.05.004 · Cited by 1,019
Microdomain Orientation of PS-b-PMMA by Controlled Interfacial Interactions
Ham, S., Shin, C., Kim, E., Ryu, D. Y., Jeong, U., Russell, T. P., & Hawker, C. J. (2008) · Macromolecules · doi:10.1021/ma8007338 · Cited by 238
Self-citationKeen, I., Yu, A., Cheng, H.-H., Jack, K. S., Nicholson, T. M., Whittaker, A. K., & Blakey, I. (2012) · Langmuir · doi:10.1021/la304141m · Cited by 56
Metadata
- Authors
- Yang, S. Y., Ryu, I., Kim, H. Y., Kim, J. K., Jang, S. K., & Russell, T. P.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2006-02-16
- Volume
- 18
- Issue
- 6
- Pages
- 709-712
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2014557892
- Cited by
- 584
- References
- 1
- FWCI
- 28.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yang, S. Y., Ryu, I., Kim, H. Y., Kim, J. K., Jang, S. K., & Russell, T. P. (2006). Nanoporous Membranes with Ultrahigh Selectivity and Flux for the Filtration of Viruses. Advanced Materials. https://doi.org/10.1002/adma.200501500
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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.
