4.7 Article

Structure and dynamics of single-chain nano-particles in solution

期刊

POLYMER
卷 105, 期 -, 页码 532-544

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.polymer.2016.07.059

关键词

Single-chain nano-particles; Small angle scattering; Quasielastic neutron scattering; Molecular dynamics simulations

资金

  1. Spanish Ministry Ministerio de Economia y Competitividad, MINECO/FEDER, UE [MAT2015-63704-P]
  2. Basque Government [IT-654-13]
  3. European Commission under the 7th Framework Programme through the 'Research Infrastructures' action of the 'Capacities' Programme, NMI3-II Grant [283883]
  4. European Soft Matter Infrastructure project ESMI [262348]

向作者/读者索取更多资源

By means of intramolecular folding/collapse of individual polymer chains (precursors), ultra-small soft nano-objects called single-chain nano-particles (SCNPs) can be synthesized. Here we present a combination of scattering techniques [small angle X-Ray and neutron scattering (SAXS and SANS), neutron spin echo (NSE) and dynamic light scattering (DLS)] to investigate the structure and dynamics of SCNPs in solution and their linear precursors as reference. Coarse-grained molecular dynamics (MD) simulations have also been carried out to complement this study. The application of SANS and SAXS has proved the compaction of the macromolecules upon creation of internal cross-links. However, the SCNPs obtained by different routes exhibit a far from globular topology in good solvent. Regarding the dynamics, we report on the first experimental investigation of the dynamic structure factor of SCNPs in solution. It reveals a clear impact of internal cross-links through (i) a reduction of the translational diffusion coefficient and (ii) an important slowing down of the internal modes. The data have been analyzed in terms of theoretical approximations based on the Zimm model. Both, structurally and dynamically, SCNPs show striking resemblances with intrinsically disordered proteins: similar scaling properties reflecting sparse morphologies and an extremely high internal friction. (C) 2016 Elsevier Ltd. All rights reserved.

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