Issue 39, 2019

Structure and thermodynamics of mixed polymeric micelles with crystalline cores: tuning properties via co-assembly

Abstract

We investigate micelles formed by mixtures of n-alkyl-poly(ethylene oxide) block copolymers, Cn-PEO, with different alkyl block lengths in aqueous solution. This model system has previously been used to shed light on the interplay between exchange kinetics and crystallinity in self-assembling systems [König et al., Phys. Rev. Lett., 2019, 122, 078001]. Now we report on the structure and thermodynamics of these micelles by combining results from small-angle X-ray scattering, differential scanning calorimetry and volumetric measurements. We show that mixed micelles are formed despite the fact that length-mismatched n-alkanes of similar weights in bulk tend to demix below the crystallization temperature. Instead, the system exhibits similar properties as single-component micelles but with a modulated melting region. Interestingly, the melting point depression due to self-confinement within the micellar core can be approximately described by a generalized Gibbs–Thomson equation, similar to single-component micelles [Zinn et al. Phys. Rev. Lett., 2014, 113, 238305]. Furthermore, we find a novel scaling law for these micelles where, at least for larger n, the aggregation number scales with the third power of the length of the hydrophobic block, Naggn3. Possibly, there might be a cross-over from the conventional Naggn2 behaviour around n ≈ 19. However, the reason for such a transition as well as the strong n dependence remains a challenge and requires more theoretical work.

Graphical abstract: Structure and thermodynamics of mixed polymeric micelles with crystalline cores: tuning properties via co-assembly

Supplementary files

Article information

Article type
Paper
Submitted
17 Jul 2019
Accepted
24 Aug 2019
First published
26 Aug 2019

Soft Matter, 2019,15, 7777-7786

Structure and thermodynamics of mixed polymeric micelles with crystalline cores: tuning properties via co-assembly

N. König, L. Willner and R. Lund, Soft Matter, 2019, 15, 7777 DOI: 10.1039/C9SM01452G

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