Statistical mechanics of DNA-mediated colloidal aggregation

Nicholas A. Licata and Alexei V. Tkachenko
Phys. Rev. E 74, 041408 – Published 30 October 2006

Abstract

We present a statistical mechanical model of aggregation in colloidal systems with DNA-mediated interactions. We obtain a general result for the two-particle binding energy in terms of the hybridization free energy ΔG of DNA and two model-dependent properties: the average number of available DNA bridges N and the effective DNA concentration ceff. We calculate these parameters for a particular DNA bridging scheme. The fraction of all the n-mers, including the infinite aggregate, are shown to be universal functions of a single parameter directly related to the two-particle binding energy. We explicitly take into account the partial ergodicity of the problem resulting from the slow DNA binding-unbinding dynamics, and introduce the concept of angular localization of DNA linkers. In this way, we obtain a direct link between DNA thermodynamics and the global aggregation and melting properties in DNA-colloidal systems. The results of the theory are shown to be in quantitative agreement with two recent experiments with particles of micron and nanometer size.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 15 June 2006

DOI:https://doi.org/10.1103/PhysRevE.74.041408

©2006 American Physical Society

Authors & Affiliations

Nicholas A. Licata and Alexei V. Tkachenko

  • Department of Physics and Michigan Center for Theoretical Physics, University of Michigan, 450 Church Street, Ann Arbor, Michigan 48109, USA

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 74, Iss. 4 — October 2006

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×