The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Selective membranes in water and wastewater treatment: Role of advanced materials
Open accessAbstract
Abstract Membrane separation has enjoyed tremendous advances in relevant material and engineering sciences, making it the fastest growing technology in water treatment. Although membranes as a broad-spectrum physical barrier have great advantages over conventional treatment processes in a myriad of applications, the need for higher selectivity and specificity in membrane separation is rising as we move to target contaminants at trace concentrations and to recover valuable chemicals from wastewater with low energy consumption. In this review, we discuss the drivers, fundamental science, and potential enabling materials for high selectivity membranes, as well as their applications in different water treatment processes. Membrane materials and processes that show promise to achieve high selectivity for water, ions, and small molecules—as well as the mechanisms involved—are highlighted. We further identify practical needs, knowledge gaps, and technological barriers in both material development and process design for high selectivity membrane processes. Finally, we discuss research priorities in the context of existing and future water supply paradigms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
The chemistry of two-dimensional layered transition metal dichalcogenide nanosheets
Chhowalla, M., Shin, H. S., Eda, G., Li, L.-J., Loh, K. P., & Zhang, H. (2013) · Nature Chemistry · doi:10.1038/nchem.1589 · Cited by 10,034
Kreuer, K.-D., Paddison, S. J., Spohr, E., & Schuster, M. (2004) · Chemical Reviews · doi:10.1021/cr020715f · Cited by 2,187
Recent trends of heavy metal removal from water/wastewater by membrane technologies
Abdullah, N., Yusof, N., Lau, W. J., Jaafar, J., & Ismail, A. F. (2019) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2019.03.029 · Cited by 769
Fructose-driven glycolysis supports anoxia resistance in the naked mole-rat
Park, T. J., Reznick, J., Peterson, B. L., Blass, G., Omerbašić, D., Bennett, N. C., Kuich, P. H. J. L., Zasada, C., Browe, B. M., Hamann, W., et al. (2017) · Science · doi:10.1126/science.aab3896 · Cited by 641
Yang, 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
Nie, X.-Y., Sun, S.-Y., Song, X., & Yu, J.-G. (2017) · Journal of Membrane Science · doi:10.1016/j.memsci.2017.02.020 · Cited by 195
Crystal structures of a double-barrelled fluoride ion channel
Stockbridge, R. B., Kolmakova-Partensky, L., Shane, T., Koide, A., Koide, S., Miller, C., & Newstead, S. (2015) · Nature · doi:10.1038/nature14981 · Cited by 119
Kim, D., Powell, L., Delmau, L. H., Peterson, E. S., Herchenroeder, J., & Bhave, R. R. (2016) · Separation Science and Technology · doi:10.1080/01496395.2016.1171782 · Cited by 54
Cited by
Electrified water treatment: fundamentals and roles of electrode materials
Zuo, K., Garcia-Segura, S., Cerrón-Calle, G. A., Chen, F.-Y., Tian, X., Wang, X., Huang, X., Wang, H., Alvarez, P. J. J., Lou, J., et al. (2023) · Nature Reviews Materials · doi:10.1038/s41578-023-00564-y · Cited by 308
Self-citation
Metadata
- Authors
- Zuo, K., Wang, K., DuChanois, R. M., Fang, Q., Deemer, E. M., Huang, X., Xin, R., Said, I. A., He, Z., Feng, Y., Shane Walker, W., Lou, J., Elimelech, M., Huang, X., & Li, Q.
- Venue
- Materials Today
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 50
- Pages
- 516-532
- ISSN
- 1369-7021 (ISSN-L)
- OpenAlex
- W3183269851
- Cited by
- 266
- References
- 9
- FWCI
- 10.62
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Selective membranes in water and wastewater treatment: Role of advanced materials. https://app.cochat.ai/papers/10.1016/j.mattod.2021.06.013
- The paper
- Zuo, K., Wang, K., DuChanois, R. M., Fang, Q., Deemer, E. M., Huang, X., Xin, R., Said, I. A., He, Z., Feng, Y., Shane Walker, W., Lou, J., Elimelech, M., Huang, X., & Li, Q. (2021). Selective membranes in water and wastewater treatment: Role of advanced materials. Materials Today. https://doi.org/10.1016/j.mattod.2021.06.013
Data sources
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.
