Subdiffusion of sticky dendrimers in an associative polymer network
Silpa Mariya, Jeremy J. Barr, P. Sunthar, J. Ravi Prakash
TL;DR
This study probes how dendrimer tracers diffuse through a linear associative polymer network, focusing on how sticky (A–A and B–C) interactions alter dendrimer size, local network structure, and transport. It uses coarse-grained Brownian dynamics with hydrodynamic interactions and a Monte Carlo binding scheme to compare non-sticky and sticky dendrimers across a range of concentrations and sticker strengths, revealing that sticky dendrimers can exhibit subdiffusion even when their size is smaller than the network mesh, due to transient binding and binding lifetime scales. The long-time diffusivity follows a Dell–Schweizer–type scaling with an effective confinement parameter, while the hopping picture of Cai et al. does not capture these soft, flexible, and reversible-binding systems; sticky dendrimers also deform the mesh, broadening the distribution of local pore sizes. Collectively, these results illuminate how macromolecular architecture and transient binding govern transport in crowded polymer networks, with implications for drug delivery, viral diffusion in mucus, and nanoparticle transport in gels.
Abstract
We investigate the static and dynamic properties of dendrimers diffusing through a network of linear associative polymers using coarse-grained Brownian dynamics simulations. Both dendrimers and network chains are modelled as bead-spring chain polymers, with hydrodynamic interactions incorporated for the accurate prediction of dynamic properties. Linear chains form a network via the associating groups distributed along their backbones, and the dendrimers interact attractively or repulsively with the network, enabling a direct comparison of sticky and non-sticky behaviour of dendrimers. Structural analysis reveals that while non-sticky dendrimers shrink with increasing network concentration, similar to linear polymer behaviour, sticky dendrimers exhibit stretching at low concentrations due to binding interactions. Dendrimer dynamics are largely insensitive to network architecture but are strongly influenced by the strength of dendrimer-network interactions. Increasing attraction to the network leads to subdiffusive motion and non-Gaussian displacement statistics, even when dendrimers are smaller than the average mesh size. The long-time diffusivity aligns with theoretical predictions for nanoparticle transport in polymer networks. Additionally, dendrimers deform the network locally, altering the mesh size distribution depending on their stickiness. These findings offer insight into the interplay between macromolecular architecture, binding interactions, and transport in polymeric environments.
