4.4 Review

Effect of Junction Aggregation on the Dynamics of Supramolecular Polymers and Networks

Journal

MACROMOLECULAR CHEMISTRY AND PHYSICS
Volume 224, Issue 3, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/macp.202200389

Keywords

dynamics; polymer networks; relaxation; rheology; supramolecular crosslinking

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Transient structures based on associative polymers have potential applications in drug delivery, tissue engineering, and electronics. However, the phase separation of polar pairwise associations from nonpolar polymer chains often leads to junction aggregation, which affects the network structure and dynamics. The knowledge of the effect of design parameters on aggregates and their consequent effects on material properties is limited.
Transient structures based on associative polymers can deliver complex functions; as such, they hold promise for advanced applications as in drug delivery, tissue engineering, and electronics. The network structure and timescale of its rearrangement are key factors that define their range of utility. However, the inevitable phase separation of polar pairwise associations from nonpolar polymer chains frequently causes junction aggregation, whose stability and functionality significantly affect the network structure and dynamics, and as such, redefine its utility. Engineering the extent of association is a necessity for controlling properties of supramolecular materials, yet the current knowledge of the effect of design parameters on specificities of aggregates and their consequent effects on material properties is limited. To address this gap, the importance of aggregation is highlighted, the available theories and models of the dynamics of associative polymers in the presence of aggregates are reviewed, and the existing experimental records to draw a general guideline for interpreting the effect of aggregates on polymer dynamics are classified. Moreover, pitfalls and considerations like the applicability of time-temperature superposition, and the interplay of kinetics and thermodynamics of aggregation that may undermine the authenticity of the reported data are reviewed.

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