The DOI matches its Crossref record.
Switchable pH-Responsive Polymeric Membranes Prepared via Block Copolymer Micelle Assembly
Abstract
A process is described to manufacture monodisperse asymmetric pH-responsive nanochannels with very high densities (pore density >2 × 10(14) pores per m(2)), reproducible in m(2) scale. Cylindric pores with diameters in the sub-10 nm range and lengths in the 400 nm range were formed by self-assembly of metal-block copolymer complexes and nonsolvent-induced phase separation. The film morphology was tailored by taking into account the stability constants for a series of metal-polymer complexes and confirmed by AFM. The distribution of metal-copolymer micelles was imaged by transmission electron microscopy tomography. The pH response of the polymer nanochannels is the strongest reported with synthetic pores in the nm range (reversible flux increase of more than 2 orders of magnitude when switching the pH from 2 to 8) and could be demonstrated by cryo-field emission scanning electron microscopy, SAXS, and ultra/nanofiltration experiments.
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
50th Anniversary Perspective: Block Polymers—Pure Potential
Bates, C. M., & Bates, F. S. (2017) · Macromolecules · doi:10.1021/acs.macromol.6b02355 · Cited by 788
Muppalla, R., Rana, H. H., Devi, S., & Jewrajka, S. K. (2013) · Applied Surface Science · doi:10.1016/j.apsusc.2012.12.098 · Cited by 34
Metadata
- Authors
- Nunes, S. P., Behzad, A. R., Hooghan, B., Sougrat, R., Karunakaran, M., Pradeep, N., Vainio, U., & Peinemann, K.-V.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-04-25
- Volume
- 5
- Issue
- 5
- Pages
- 3516-3522
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2331218787
- Cited by
- 295
- References
- 0
- FWCI
- 27.41
- 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
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.