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• W2805759667 abstract "Mucus scaffolds represent one of the most common barriers in targeted drug delivery and can remarkably reduce the outcome of pharmacological therapies. An efficient transport of drug particles through a mucus barrier is a precondition for an efficient drug delivery. Understanding the transport mechanism is particularly important for treatment of disorders such as cystic fibrosis. These are characterized by an onset of high-density mucus scaffolds imposing an increased steric filtering. In this study, we employed the bond-fluctuation model to analyze the effect of steric interactions on slowing the translational dynamics of compound chain-like particles traversing through scaffolds of different configurations (regular isotropic and anisotropic versus irregular random). The model, which accounts for both the geometry-imposed steric interaction as well as the intrachain steric interaction between the chain subunits, yields a transient subdiffusive motional pattern persists between the short-time and long-time Gaussian diffusion limits. The motion is analyzed in terms of a mean-squared displacement, diffusion coefficient, and radius of gyration. With higher levels of restriction or larger particles, the subdiffusive motional regime persists longer. The study also demonstrates that an important feature of the motion is also geometry-induced chain accommodation. The presented model is generic and could also be applied to studying the translational dynamics of other particles with more complex architecture such as dendrites or chain-decorated nanoparticles." @default.
• W2805759667 created "2018-06-13" @default.
• W2805759667 creator A5005916320 @default.
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• W2805759667 date "2018-06-01" @default.
• W2805759667 modified "2023-09-27" @default.
• W2805759667 title "A Bond-Fluctuation Model of Translational Dynamics of Chain-like Particles through Mucosal Scaffolds" @default.
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• W2805759667 doi "https://doi.org/10.1016/j.bpj.2018.04.031" @default.
• W2805759667 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6129447" @default.
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• W2805759667 hasPublicationYear "2018" @default.
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