Implicit-solvent coarse-grained simulations of linear-dendritic block copolymer micelles

POSTER

Abstract

A variety of nanoassemblies can be conveniently achieved by fine-tuning the strength of the hydrophobic interactions of block copolymers in selective solvents, giving rise to assemblies with various interesting topologies. In particular, block copolymer micelles have attracted great attention in the area of drug delivery and imaging in biomedicine due to their easy-to-tune properties and straightforward large-scale production. In the present work, we have investigated the micellization process of linear–dendritic block copolymers in order to elucidate the effect of branching on the micellar properties. We focus on block copolymers formed by linear hydrophobic blocks attached to either dendritic neutral or charged hydrophilic blocks. We have implemented a simple protocol for determining the equilibrium micellar size, which permits the study of linear–dendritic block copolymers in a wide range of block morphologies in an efficient and parallelizable manner. We have explored the impact of different topological and charge properties of the hydrophilic blocks on the equilibrium micellar properties and compared them to predictions from self-consistent field theory and scaling theory. We have found that, at higher degrees of branching in the corona and for short polymer chains, excluded volume interactions strongly influence the micellar aggregation as well as their effective charge.

* DFG-RBS Russia Coopeartion

Publication: M.E. Brito et al., Int. J. Mol. Sci., 24(3), 2763 (2023)

Presenters

  • Mariano E Brito

    Institute for Computational Physics, University of Stuttgart, University of Stuttgart

Authors

  • Mariano E Brito

    Institute for Computational Physics, University of Stuttgart, University of Stuttgart

  • Sofia Mikhtaniuk

    St. Petersburg National Research University of Information Technologies, Mechanics and Optics

  • Igor M Neelov

    St. Petersburg National Research University of Information Technologies, Mechanics and Optics

  • Oleg Borisov

    Institut des Sciences Analytiques et de Physico-Chimie pour l'Environnement et les Matériaux, UMR 5254 CNRS UPPA, Pau

  • Christian L Holm

    University of Stuttgart, Institute for Computational Physics, University of Stuttgart