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Adhesion of vesicles
Abstract
A simple model for the adhesion of vesicles to interfaces and membranes is introduced and theoretically studied. It is shown that adhering (or bound) vesicles can exhibit a large variety of different shapes. The notion of a contact angle governed by tension is found to be applicable only for a restricted subset of these shapes. Furthermore, the vesicle undergoes a nontrivial adhesion transition from a free to a bound state. This transition is governed by the balance between the overall bending and adhesion energies, and occurs even in the absence of shape fluctuations.
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Citations
Cited by
Configurations of fluid membranes and vesicles
Seifert, U. (1997) · Advances in Physics · doi:10.1080/00018739700101488 · Cited by 1,650
Self-citationSeifert, U., Berndl, K., & Lipowsky, R. (1991) · Physical Review A · doi:10.1103/physreva.44.1182 · Cited by 963
Self-citationLipowsky, R. (2013) · Faraday Discuss. · doi:10.1039/c2fd20105d · Cited by 270
Self-citationLiposomes as lubricants: beyond drug delivery
Goldberg, R., & Klein, J. (2012) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2011.11.007 · Cited by 53
Metadata
- Authors
- Seifert, U., & Lipowsky, R.
- Venue
- Physical Review A
- Publisher
- American Physical Society (APS)
- Published
- 1990-10-01
- Volume
- 42
- Issue
- 8
- Pages
- 4768-4771
- ISSN
- 0556-2791 (ISSN-L)
- 1050-2947
- 1094-1622
- OpenAlex
- W2045898622
- Cited by
- 511
- References
- 0
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Adhesion of vesicles. https://app.cochat.ai/papers/10.1103/physreva.42.4768
- The paper
- Seifert, U., & Lipowsky, R. (1990). Adhesion of vesicles. Physical Review A. https://doi.org/10.1103/physreva.42.4768
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.
