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Changes in the Form Factor and Size Distribution of Nanogels in Crowded Environments.

Tom HöfkenChristian StrauchStefanie SchneiderAndrea Scotti
Published in: Nano letters (2022)
Particle size disparities suppress crystallization. However, soft deformable nanogels can change the size of the larger particles in suspension and crystallize even at a high initial size-polydispersity. Using neutron scattering with contrast variation, the response of individual nanogels in crowded environments was probed, and an increase of the parameter describing size-polydispersity was found, which is often interpreted as deformation. Here, computer simulations are used to generate deformed nanogels and the corresponding form factor. The data are fitted with the spherical model used to analyze scattering data. The fits show the same qualitative increase of the parameter related to the size-polydispersity with increasing particle deformation. Starting from the simulated deformed spheres, we also reproduce experimental scattering data. A further analysis of the particle shows that the size disparities between nanogels do not increase significantly. In contrast, their shapes strongly vary from one nanogel to the other.
Keyphrases
  • magnetic resonance
  • big data
  • systematic review
  • magnetic resonance imaging
  • computed tomography
  • machine learning
  • data analysis
  • deep learning