Unknown

Dataset Information

0

Novel kinetic trapping in charged colloidal clusters due to self-induced surface charge organization.


ABSTRACT: Colloidal clusters are an unusual state of matter where tunable interactions enable a sufficient reduction in their degrees of freedom that their energy landscapes can become tractable - they form a playground for statistical mechanics and promise unprecedented control of structure on the submicron lengthscale. We study colloidal clusters in a system where a short-ranged polymer-induced attraction drives clustering, while a weak, long-ranged electrostatic repulsion prevents extensive aggregation. We compare experimental yields of cluster structures with theory which assumes simple addition of competing isotropic interactions between the colloids. Here we show that for clusters of size 4 ? m ? 7, the yield of minimum energy clusters is much less than expected. We attribute this to an anisotropic self-organized surface charge distribution which leads to unexpected kinetic trapping. We introduce a model for the coupling between counterions and binding sites on the colloid surface with which we interpret our findings.

SUBMITTER: Klix CL 

PROVIDER: S-EPMC3691564 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Novel kinetic trapping in charged colloidal clusters due to self-induced surface charge organization.

Klix Christian L CL   Murata Ken-ichiro K   Tanaka Hajime H   Williams Stephen R SR   Malins Alex A   Royall C Patrick CP  

Scientific reports 20130101


Colloidal clusters are an unusual state of matter where tunable interactions enable a sufficient reduction in their degrees of freedom that their energy landscapes can become tractable - they form a playground for statistical mechanics and promise unprecedented control of structure on the submicron lengthscale. We study colloidal clusters in a system where a short-ranged polymer-induced attraction drives clustering, while a weak, long-ranged electrostatic repulsion prevents extensive aggregation  ...[more]

Similar Datasets

| S-EPMC5115313 | biostudies-literature
| S-EPMC3918771 | biostudies-literature
| S-EPMC10895664 | biostudies-literature
| S-EPMC5691049 | biostudies-literature
| S-EPMC8960120 | biostudies-literature
| S-EPMC8155334 | biostudies-literature
| S-EPMC8047654 | biostudies-literature
| S-EPMC8763378 | biostudies-literature
| S-EPMC9032479 | biostudies-literature
| S-EPMC4279762 | biostudies-other