The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cryogenic Transmission Electron Microscopy (Cryo-TEM) of Micelles and Vesicles Formed in Water by Poly(ethylene oxide)-Based Block Copolymers
Abstract
We investigated the micellar polymorphism of poly(ethylene oxide)(PEO)-based block copolymers to illustrate the possibility of a rational control of the aggregation structure through synthetic manipulation of the molecular characteristics. Boundaries for the micellar shape transitions from bilayers to cylinders to spheres with increasing PEO composition were determined with direct cryogenic transmission electron microscopic (cryo-TEM) imaging of the microstructures in the form of thin vitreous hydrated specimens. Analyses of cryo-TEM images lead to determination of the packing properties of the hydrophobic block in terms of the interfacial area per chain and the degree of chain stretching. Also, the micellar phases of the block copolymers are characterized by anomalous structural behaviors such as coexistence of different structures and formation of exotic compound structures, which are discussed in terms of metastability inherent in the system comprising polymeric materials.
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
Fetters, L. J., Lohse, D. J., Richter, D., Witten, T. A., & Zirkel, A. (1994) · Macromolecules · doi:10.1021/ma00095a001 · Cited by 1,999
Cited by
Blanazs, A., Armes, S. P., & Ryan, A. J. (2009) · Macromolecular Rapid Communications · doi:10.1002/marc.200800713 · Cited by 1,500
On the origins of morphological complexity in block copolymer surfactants
Jain, S., & Bates, F. S. (2003) · Science · doi:10.1126/science.1082193 · Cited by 1,217
Self-citationStimuli-Responsive Polymersomes for Programmed Drug Delivery
Meng, F., Zhong, Z., & Feijen, J. (2009) · Biomacromolecules · doi:10.1021/bm801127d · Cited by 1,122
Lombardo, D., Kiselev, M. A., & Caccamo, M. T. (2019) · Journal of Nanomaterials · doi:10.1155/2019/3702518 · Cited by 864
Motornov, M., Roiter, Y., Tokarev, I., & Minko, S. (2010) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2009.10.004 · Cited by 773
Chen, W., Meng, F., Cheng, R., & Zhong, Z. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2009.09.023 · Cited by 458
Cui, H., Hodgdon, T. K., Kaler, E. W., Abezgauz, L., Danino, D., Lubovsky, M., Talmon, Y., & Pochan, D. J. (2007) · Soft Matter · doi:10.1039/b704194b · Cited by 208
Liu, R., Li, D., He, B., Xu, X., Sheng, M., Lai, Y., Wang, G., & Gu, Z. (2011) · Journal of Controlled Release · doi:10.1016/j.jconrel.2011.02.031 · Cited by 157
Core-Shell type lipid/rPAA-Chol polymer hybrid nanoparticles for in vivo siRNA delivery
Gao, L.-Y., Liu, X.-Y., Chen, C.-J., Wang, J.-C., Feng, Q., Yu, M.-Z., Ma, X.-F., Pei, X.-W., Niu, Y.-J., Qiu, C., et al. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2013.11.046 · Cited by 114
Indocyanine Green J Aggregates in Polymersomes for Near-Infrared Photoacoustic Imaging
Changalvaie, B., Han, S., Moaseri, E., Scaletti, F., Truong, L., Caplan, R., Cao, A., Bouchard, R., Truskett, T. M., Sokolov, K. V., et al. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b14519 · Cited by 93
Molecular insight into drug-loading capacity of PEG–PLGA nanoparticles for itraconazole
Wilkosz, N., Łazarski, G., Kovacik, L., Gargas, P., Nowakowska, M., Jamróz, D., & Kepczynski, M. (2018) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.8b03742 · Cited by 79
Fairley, N., Hoang, B., & Allen, C. (2008) · Biomacromolecules · doi:10.1021/bm800572p · Cited by 75
Metadata
- Authors
- Won, Y.-Y., Brannan, A. K., Davis, H. T., & Bates, F. S.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-03-05
- Volume
- 106
- Issue
- 13
- Pages
- 3354-3364
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2019060205
- Cited by
- 340
- References
- 1
- FWCI
- 9.36
- 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.