The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Polyphenol Coating as an Interlayer for Thin-Film Composite Membranes with Enhanced Nanofiltration Performance
Abstract
Thin-film composite (TFC) nanofiltration membranes are prepared via interfacial polymerization with a polyphenol coating as an interlayer for the thin and smooth polyamide selective layer. The polyphenol interlayer is simply fabricated by the codeposition of tannic acid and diethylenetriamine without changing the surface morphology of the polysulfone ultrafiltration substrate. An interfacial polymerization is conducted from piperazidine and trimesoyl chloride on the polyphenol interlayer to construct the polyamide selective layer. The as-prepared TFC nanofiltration membranes show nearly tripled fold of water permeation flux as compared with those prepared at the same condition without an interlayer. They also exhibit a high rejection to Na 2 SO 4 (>98%) because the thin and defect-free polyamide selective layer is formed on the polyphenol interlayer. These nanofiltration properties have high reproducibility, which means the TFC nanofiltration membranes are suitable for scale-up industrial applications.
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Cites
Mussel-inspired surface chemistry for multifunctional coatings
Lee, H., Dellatore, S. M., Miller, W. M., & Messersmith, P. B. (2007) · Science · doi:10.1126/science.1147241 · Cited by 10,965
Research works printed but not linked: 39
- 10.1016/j.desal.2014.10.043 · DOI · Paper page
- 10.1016/j.memsci.2014.11.024 · DOI · Paper page
- 10.1002/app.41988 · doi:10.1002/app.41988
- 10.1016/j.seppur.2008.05.010 · DOI · Paper page
- 10.1039/c0ee00541j · DOI · Paper page
- 10.1021/ie5017688 · DOI
- 10.1016/j.jiec.2015.06.008 · doi:10.1016/j.jiec.2015.06.008
- 10.1016/j.desal.2011.04.004 · DOI
- 10.1016/j.memsci.2004.10.042 · DOI
- 10.1016/0376-7388(94)80006-5 · doi:10.1016/0376-7388(94)80006-5
- 10.1016/0376-7388(93)80014-O · DOI · Paper page
- 10.1021/acs.langmuir.5b03031 · doi:10.1021/acs.langmuir.5b03031
- 10.1016/j.memsci.2014.08.033 · DOI · Paper page
- 10.1016/j.memsci.2014.10.052 · doi:10.1016/j.memsci.2014.10.052
- 10.1016/j.desal.2012.10.038 · doi:10.1016/j.desal.2012.10.038
- 10.1016/j.memsci.2012.11.059 · DOI · Paper page
- 10.1080/00222338108056764 · doi:10.1080/00222338108056764
- 10.1016/j.memsci.2014.11.011 · DOI · Paper page
- 10.1016/j.memsci.2008.03.021 · doi:10.1016/j.memsci.2008.03.021
- 10.1016/j.memsci.2011.08.041 · doi:10.1016/j.memsci.2011.08.041
- 10.1016/j.memsci.2009.03.024 · DOI · Paper page
- 10.1002/app.1282 · DOI
- 10.1016/j.memsci.2006.09.037 · DOI
- 10.1016/j.memsci.2015.01.025 · DOI
- 10.1126/science.aaa5058 · DOI · Paper page
- 10.1016/j.memsci.2016.05.056 · DOI · Paper page
- 10.1002/smll.201601253 · DOI · Paper page
- 10.1002/adma.200801222 · DOI · Paper page
- 10.1039/c3cc46127k · DOI
- 10.1016/j.ces.2012.05.033 · DOI · Paper page
- 10.1039/c4cc02961e · DOI · Paper page
- 10.1002/anie.201304922 · DOI · Paper page
- 10.1021/am406052u · DOI · Paper page
- 10.1016/j.apsusc.2015.11.015 · DOI
- 10.1021/am508149n · DOI · Paper page
- 10.1016/j.desal.2015.02.013 · doi:10.1016/j.desal.2015.02.013
- 10.1016/j.memsci.2015.07.013 · DOI
- 10.1016/j.memsci.2011.05.015 · DOI
- 10.1021/es010630g · doi:10.1021/es010630g
Cited by
Polydopamine Surface Chemistry: A Decade of Discovery
Ryu, J. H., Messersmith, P. B., & Lee, H. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b19865 · Cited by 1,843
Tannic acid: a crosslinker leading to versatile functional polymeric networks: a review
Chen, C., Yang, H., Yang, X., & Ma, Q. (2022) · RSC Advances · doi:10.1039/d1ra07657d · Cited by 561
Self-citationYang, Z., Zhou, Z.-W., Guo, H., Yao, Z., Ma, X.-H., Song, X., Feng, S.-P., & Tang, C. Y. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b02425 · Cited by 437
Wu, M., Yuan, J., Wu, H., Su, Y., Yang, H., You, X., Zhang, R., He, X., Khan, N. A., Kasher, R., et al. (2019) · Journal of Membrane Science · doi:10.1016/j.memsci.2019.01.040 · Cited by 325
Self-citationDai, R., Li, J., & Wang, Z. (2020) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2020.102204 · Cited by 292
Metadata
- Authors
- Zhang, X., Lv, Y., Yang, H.-C., Du, Y., & Xu, Z.-K.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-11-18
- Volume
- 8
- Issue
- 47
- Pages
- 32512-32519
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2555746904
- Cited by
- 260
- References
- 1
- FWCI
- 10.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- National Natural Science Foundation of China (21534009)
- Open Research Fund Program of Collaborative Innovation Center of Membrane Separation and Water Treatment of Zhejiang Province (2016ZD04)
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