Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 178

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Nanofiltration Membrane with a Mussel-Inspired Interlayer for Improved Permeation Performance

Yang, Xi, Du, Yong, Zhang, Xi, He, Ai, Xu, Zhi-Kang·2017·Langmuir

Abstract

A mussel-inspired interlayer of polydopamine (PDA)/polyethylenimine (PEI) is codeposited on the ultrafiltration substrate to tune the interfacial polymerization of piperazine and trimesoyl chloride for the preparation of thin-film composite (TFC) nanofiltration membranes (NFMs). This hydrophilic interlayer results in an efficient adsorption of piperazine solution in the substrate pores. The solution height increases with the PDA/PEI codeposition time from 45 to 135 min due to the capillary effect of the substrate pores. The prepared TFC NFMs are characterized with thin and smooth polyamide selective layers by ATR/IR, XPS, FESEM, AFM, zeta potential, and water contact angle measurements. Their water permeation flux measured in a cross-flow process increases to two times as compared with those TFC NFMs without the mussel-inspired interlayer. These TFC NFMs also show a high rejection of 97% to Na 2 SO 4 and an salt rejection order of Na 2 SO 4 ≈ MgSO 4 > MgCl 2 > NaCl.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acs.langmuir.6b04465

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 4 references

Cited by

See all 178

Metadata

Authors
Yang, X., Du, Y., Zhang, X., He, A., & Xu, Z.-K.
Venue
Langmuir
Published
2017-02-17
Volume
33
Issue
9
Pages
2318-2324
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W2587601574
Cited by
178
References
4
FWCI
9.94
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: Nanofiltration Membrane with a Mussel-Inspired Interlayer for Improved Permeation Performance. https://app.cochat.ai/papers/10.1021/acs.langmuir.6b04465
The paper
Yang, X., Du, Y., Zhang, X., He, A., & Xu, Z.-K. (2017). Nanofiltration Membrane with a Mussel-Inspired Interlayer for Improved Permeation Performance. Langmuir. https://doi.org/10.1021/acs.langmuir.6b04465

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.