The DOI matches its Crossref record.
Highly permeable artificial water channels that can self-assemble into two-dimensional arrays
Open accessAbstract
Significance: This study focuses on the design of highly permeable artificial water channels for the use in membrane-based separation materials. A platform was developed for the systematic characterization of the single-channel water conduction of artificial channels, which is based on permeability measurement by stopped-flow light-scattering experiments and single-molecule counting by fluorescence correlation spectroscopy. With this platform the water conduction of the redesigned peptide-appended pillar[5]arene channels was found to be similar to that of aquaporins, natural water channel proteins, and their synthetic analogs, carbon nanotubes, which is an order of magnitude higher than that of first-generation artificial water channels. The channel can also self-assemble into arrays in membranes, opening the possibility for materials that can be used in engineering applications such as liquid and gas separations.
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
Zhao, Y., Tong, T., Wang, X., Lin, S., Reid, E. M., & Chen, Y. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c04593 · Cited by 363
Na + -gated water-conducting nanochannels for boosting CO 2 conversion to liquid fuels
Li, H., Qiu, C., Ren, S., Dong, Q., Zhang, S., Zhou, F., Liang, X., Wang, J., Li, S., & Yu, M. (2020) · Science · doi:10.1126/science.aaz6053 · Cited by 271
Single-chain heteropolymers transport protons selectively and rapidly
Jiang, T., Hall, A., Eres, M., Hemmatian, Z., Qiao, B., Zhou, Y., Ruan, Z., Couse, A. D., Heller, W. T., Huang, H., et al. (2020) · Nature · doi:10.1038/s41586-019-1881-0 · Cited by 122
Metadata
- Authors
- Shen, Y.-X., Si, W., Erbakan, M., Decker, K., De Zorzi, R., Saboe, P. O., Kang, Y. J., Majd, S., Butler, P. J., Walz, T., Aksimentiev, A., Hou, J.-L., & Kumar, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-07-27
- Volume
- 112
- Issue
- 32
- Pages
- 9810-9815
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1946394423
- Cited by
- 196
- References
- 0
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- green
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: Highly permeable artificial water channels that can self-assemble into two-dimensional arrays. https://app.cochat.ai/papers/10.1073/pnas.1508575112
- The paper
- Shen, Y.-X., Si, W., Erbakan, M., Decker, K., De Zorzi, R., Saboe, P. O., Kang, Y. J., Majd, S., Butler, P. J., Walz, T., Aksimentiev, A., Hou, J.-L., & Kumar, M. (2015). Highly permeable artificial water channels that can self-assemble into two-dimensional arrays. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1508575112
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.