The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ion exclusion by sub-2-nm carbon nanotube pores
Open accessAbstract
Biological pores regulate the cellular traffic of a large variety of solutes, often with high selectivity and fast flow rates. These pores share several common structural features: the inner surface of the pore is frequently lined with hydrophobic residues, and the selectivity filter regions often contain charged functional groups. Hydrophobic, narrow-diameter carbon nanotubes can provide a simplified model of membrane channels by reproducing these critical features in a simpler and more robust platform. Previous studies demonstrated that carbon nanotube pores can support a water flux comparable to natural aquaporin channels. Here, we investigate ion transport through these pores using a sub-2-nm, aligned carbon nanotube membrane nanofluidic platform. To mimic the charged groups at the selectivity region, we introduce negatively charged groups at the opening of the carbon nanotubes by plasma treatment. Pressure-driven filtration experiments, coupled with capillary electrophoresis analysis of the permeate and feed, are used to quantify ion exclusion in these membranes as a function of solution ionic strength, pH, and ion valence. We show that carbon nanotube membranes exhibit significant ion exclusion that can be as high as 98% under certain conditions. Our results strongly support a Donnan-type rejection mechanism, dominated by electrostatic interactions between fixed membrane charges and mobile ions, whereas steric and hydrodynamic effects appear to be less important.
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
Phenomenological Theory of Ion Solvation. Effective Radii of Hydrated Ions
Nightingale, E. R. (1959) · The Journal of Physical Chemistry · doi:10.1021/j150579a011 · Cited by 3,505
Structural basis of water-specific transport through the AQP1 water channel
Sui, H., Han, B.-G., Lee, J. K., Walian, P., & Jap, B. K. (2001) · Nature · doi:10.1038/414872a · Cited by 1,166
Cited by
Applications of nanotechnology in water and wastewater treatment
Qu, X., Alvarez, P. J. J., & Li, Q. (2013) · Water Research · doi:10.1016/j.watres.2012.09.058 · Cited by 2,444
Adsorption of divalent heavy metal ions from water using carbon nanotube sheets
Tofighy, M. A., & Mohammadi, T. (2011) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2010.09.008 · Cited by 698
Sun, P., Wang, K., & Zhu, H. (2016) · Advanced Materials · doi:10.1002/adma.201502595 · Cited by 668
A Review of Removal of Pollutants from Water/Wastewater Using Different Types of Nanomaterials
Amin, M. T., Alazba, A. A., & Manzoor, U. (2014) · Advances in Materials Science and Engineering · doi:10.1155/2014/825910 · Cited by 645
Rao, R., Pint, C. L., Islam, A. E., Weatherup, R. S., Hofmann, S., Meshot, E. R., Wu, F., Zhou, C., Dee, N., Amama, P. B., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b06511 · Cited by 588
Self-citation
Metadata
- Authors
- Fornasiero, F., Park, H. G., Holt, J. K., Stadermann, M., Grigoropoulos, C. P., Noy, A., & Bakajin, O.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-11-11
- Volume
- 105
- Issue
- 45
- Pages
- 17250-17255
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2157322512
- Cited by
- 706
- References
- 2
- FWCI
- 21.53
- 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: Ion exclusion by sub-2-nm carbon nanotube pores. https://app.cochat.ai/papers/10.1073/pnas.0710437105
- The paper
- Fornasiero, F., Park, H. G., Holt, J. K., Stadermann, M., Grigoropoulos, C. P., Noy, A., & Bakajin, O. (2008). Ion exclusion by sub-2-nm carbon nanotube pores. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0710437105
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.