Bimodal colloidal mixtures: From fast to slow aggregation regions

Junjun Jia*, Zehong Jia, Shuichi Iwata

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


A Brownian dynamics simulation has been used to investigate the aggregation kinetics of bimodal colloidal mixtures with similar surface chemistries but different sizes, driven by the DLVO interaction potential. The time evolution of structural formation is examined by the mean number of neighbors under fast and slow aggregation regions. It was found that the electrolyte ionic strength affects the kinetic pattern of colloidal aggregation. Under the high electrolyte ionic strength conditions (fast aggregation), the selective aggregation of the least stable single component can take place in the early stage, while the other component is enriched in this least stable component in the later stage. With the ionic strength decreasing (towards the slow aggregation), the hybrid aggregation (selective aggregation and heteroaggregation) gradually dominates the aggregation kinetics. Also in the early stage, this evolves to the heteroaggregation of different components under lower ionic strength conditions. The volume fraction has no obvious influence on this kinetic pattern in the early stage.

Original languageEnglish
Pages (from-to)633-637
Number of pages5
JournalJournal of Colloid And Interface Science
Issue number2
Publication statusPublished - 2011 Oct 15
Externally publishedYes


  • Bimodal colloidal mixture
  • Brownian dynamics
  • Mean number of neighbors
  • Secondary minimum
  • Selective aggregation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Surfaces, Coatings and Films
  • Colloid and Surface Chemistry


Dive into the research topics of 'Bimodal colloidal mixtures: From fast to slow aggregation regions'. Together they form a unique fingerprint.

Cite this