The DOI matches its Crossref record.
Metal-organic framework membranes for wastewater treatment and water regeneration
Abstract
Abstract Metal-organic framework (MOF), which is composed of metal ions and bridged organic ligands, are one of the most high-profile materials currently, because their regular and tunable pore structures confer unique properties. In particular, MOF materials have attracted widespread attention in the field of membrane separation, wherein water-stable MOF membranes stand out especially in the field of wastewater treatment and water regeneration. This review critically summarizes the various design and synthesis strategies of bare MOF membranes and MOF composite membranes. The formation and function of the structural defects in MOF play important roles in the performance of MOF-based membrane. Different characterization techniques are discussed systematically, and the applications of MOF membranes in membrane filtration, membrane distillation, and membrane pervaporation are described. In order to uncover the full potential of MOF-based membranes in wastewater treatment and water regeneration, current challenges are detailed and future research directions proposed.
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
Cited by
Yusuf, V. F., Malek, N. I., & Kailasa, S. K. (2022) · ACS Omega · doi:10.1021/acsomega.2c05310 · Cited by 894
Dai, H., Yuan, X., Jiang, L., Wang, H., Zhang, J., Zhang, J., & Xiong, T. (2021) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2021.213985 · Cited by 503
Self-citationKaur, H., Devi, N., Siwal, S. S., Alsanie, W. F., Thakur, M. K., & Thakur, V. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07719 · Cited by 273
Functionally decorated metal–organic frameworks in environmental remediation
Zhang, Y., Wang, B., & Wang, R. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.140741 · Cited by 58
Metadata
- Authors
- Li, J., Wang, H., Yuan, X., Zhang, J., & Chew, J. W.
- Venue
- Coordination Chemistry Reviews
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 404
- Pages
- 213116
- ISSN
- 0010-8545 (ISSN-L)
- OpenAlex
- W2983165192
- Cited by
- 437
- References
- 0
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- closed
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: Metal-organic framework membranes for wastewater treatment and water regeneration. https://app.cochat.ai/papers/10.1016/j.ccr.2019.213116
- The paper
- Li, J., Wang, H., Yuan, X., Zhang, J., & Chew, J. W. (2020). Metal-organic framework membranes for wastewater treatment and water regeneration. Coordination Chemistry Reviews. https://doi.org/10.1016/j.ccr.2019.213116
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.
