The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Thin-film composite membranes with aqueous template-induced surface nanostructures for enhanced nanofiltration
Abstract
Abstract Surface morphology has been proven to significantly affect nanofiltration (NF) membrane performance. However, the morphology control in membrane fabrication remains a great challenge. Herein, based on interfacial manipulation, a new strategy was developed to fabricate NF membranes with tunable 3D surface nanostructures. The manipulation was achieved by forming aqueous template on the substrate surface during the membrane fabrication, which directly influence the consequent membrane surface morphology. Based on this, a systematic transition of surface morphology from leaf-like shapes to ridges was achieved in a facile way. The representative NF membrane with ridged nanostructures exhibited water permeance of 21.3 Lm -2 h -1 bar -1 and Na 2 SO 4 rejection of 99.4 % due to increased permeable area, reduced membrane thickness and low-resistance flow channel within the ridged nanostructures. The mechanism and detailed process of forming these 3D surface nanostructures were demonstrated by combining dissipative particle dynamics (DPD) simulations and experiments. In consideration of the simplicity, generality and controllability, this aqueous template-based interfacial manipulation strategy would be of importance to the fabrication of thin-film composite membranes.
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
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
Cited by
Liang, Y., Zhu, Y., Liu, C., Lee, K.-R., Hung, W.-S., Wang, Z., Li, Y., Elimelech, M., Jin, J., & Lin, S. (2020) · Nature Communications · doi:10.1038/s41467-020-15771-2 · Cited by 895
Shao, S., Zeng, F., Long, L., Zhu, X., Peng, L. E., Wang, F., Yang, Z., & Tang, C. Y. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c04736 · Cited by 355
How to coordinate the trade-off between water permeability and salt rejection in nanofiltration?
Zhang, R., Tian, J., Gao, S., & Van der Bruggen, B. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta02510k · Cited by 268
Recent advances in high-performance TFC membranes: A review of the functional interlayers
Ji, C., Zhai, Z., Jiang, C., Hu, P., Zhao, S., Xue, S., Yang, Z., He, T., & Niu, Q. J. (2021) · Desalination · doi:10.1016/j.desal.2020.114869 · Cited by 268
Self-citationSelective membranes in water and wastewater treatment: Role of advanced materials
Zuo, K., Wang, K., DuChanois, R. M., Fang, Q., Deemer, E. M., Huang, X., Xin, R., Said, I. A., He, Z., Feng, Y., et al. (2021) · Materials Today · doi:10.1016/j.mattod.2021.06.013 · Cited by 266
Metadata
- Authors
- Jiang, C., Tian, L., Zhai, Z., Shen, Y., Dong, W., He, M., Hou, Y., & Niu, Q. J.
- Venue
- Journal of Membrane Science
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 589
- Pages
- 117244
- ISSN
- 0376-7388 (ISSN-L)
- OpenAlex
- W2953757663
- Cited by
- 244
- References
- 1
- FWCI
- 9.77
- 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: Thin-film composite membranes with aqueous template-induced surface nanostructures for enhanced nanofiltration. https://app.cochat.ai/papers/10.1016/j.memsci.2019.117244
- The paper
- Jiang, C., Tian, L., Zhai, Z., Shen, Y., Dong, W., He, M., Hou, Y., & Niu, Q. J. (2019). Thin-film composite membranes with aqueous template-induced surface nanostructures for enhanced nanofiltration. Journal of Membrane Science. https://doi.org/10.1016/j.memsci.2019.117244
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.
