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Anomalously Large Equilibrium Clusters of Colloids
Abstract
We propose a mechanism for mesophase separation in a system of aggregating colloids. Conditions are outlined under which colloids can form equilibrium clusters with very large sizes, i.e., aggregation numbers of a thousand or more. The driving force for clustering is a short range attractive interaction which will be treated within a capillarity approximation. The stabilizing mechanism is a small amount of charge per particle. Under the appropriate conditions these charges will interact with unscreened Coulomb potentials and, consequently, prevent large-scale phase separation.
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Cited by
Habraken, W. J. E. M., Tao, J., Brylka, L. J., Friedrich, H., Bertinetti, L., Schenk, A. S., Verch, A., Dmitrovic, V., Bomans, P. H. H., Frederik, P. M., et al. (2013) · Nature Communications · doi:10.1038/ncomms2490 · Cited by 821
Sciortino, F., Mossa, S., Zaccarelli, E., & Tartaglia, P. (2004) · Physical Review Letters · doi:10.1103/physrevlett.93.055701 · Cited by 502
Complexation and coacervation of polyelectrolytes with oppositely charged colloids
Kizilay, E., Kayitmazer, A. B., & Dubin, P. L. (2011) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2011.06.006 · Cited by 408
Ball, V., Frari, D. D., Toniazzo, V., & Ruch, D. (2012) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2012.07.030 · Cited by 404
Interfacial behavior of asphaltenes
Langevin, D., & Argillier, J.-F. (2016) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2015.10.005 · Cited by 259
Metadata
- Authors
- Groenewold, J., & Kegel, W. K.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-10-05
- Volume
- 105
- Issue
- 47
- Pages
- 11702-11709
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W1963972730
- Cited by
- 265
- References
- 0
- FWCI
- 3.56
- Type
- journal article
- Language
- en
- Open access
- closed
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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.