The DOI matches its Crossref record.
Solvent resistant nanofiltration: separating on a molecular level
Abstract
Over the past decade, solvent resistant nanofiltration (SRNF) has gained a lot of attention, as it is a promising energy- and waste-efficient unit process to separate mixtures down to a molecular level. This critical review focuses on all aspects related to this new burgeoning technology, occasionally also including literature obtained on aqueous applications or related membrane processes, if of relevance to understand SRNF better. An overview of the different membrane materials and the methods to turn them into suitable SRNF-membranes will be given first. The membrane transport mechanism and its modelling will receive attention in order to understand the process and the reported membrane performances better. Finally, all SRNF-applications reported so far - in food chemistry, petrochemistry, catalysis, pharmaceutical manufacturing - will be reviewed exhaustively (324 references).
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
Sorribas, S., Gorgojo, P., Téllez, C., Coronas, J., & Livingston, A. G. (2013) · Journal of the American Chemical Society · doi:10.1021/ja407665w · Cited by 773
Porous membranes in secondary battery technologies
Lu, W., Yuan, Z., Zhao, Y., Zhang, H., Zhang, H., & Li, X. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00823b · Cited by 479
Reverse osmosis applications: Prospect and challenges
Wenten, I. G., & Khoiruddin (2016) · Desalination · doi:10.1016/j.desal.2015.12.011 · Cited by 382
Kumar, A., Rachamalla, M., & Adarsh, A. (2023) · Metal Organic Frameworks for Wastewater Contaminant Removal · doi:10.1002/9783527841523.ch7 · Cited by 5
Metadata
- Authors
- Vandezande, P., Gevers, L. E. M., & Vankelecom, I. F. J.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2008
- Volume
- 37
- Issue
- 2
- Pages
- 365-405
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W1986065639
- Cited by
- 1,155
- References
- 0
- FWCI
- 6.09
- 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: Solvent resistant nanofiltration: separating on a molecular level. https://app.cochat.ai/papers/10.1039/b610848m
- The paper
- Vandezande, P., Gevers, L. E. M., & Vankelecom, I. F. J. (2008). Solvent resistant nanofiltration: separating on a molecular level. Chem. Soc. Rev. https://doi.org/10.1039/b610848m
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.
