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Topology sorting: Separating linear/star polymer blend components by imbibition in nanopores
Panagiotis Kardasis1, Ioannis Tzourtzouklis1, Alkmini D Nega2
1Department of Physics, University of Ioannina, 45110 Ioannina, Greece.
The Journal of Chemical Physics
|January 31, 2024
Summary
This study explores polymer blend behavior in nanoporous anodic aluminum oxide (AAO) channels. Linear and star polymers show distinct imbibition and adsorption kinetics, with imbibition time predicting adsorption.
Area of Science:
- Polymer Science
- Materials Science
- Nanotechnology
Background:
- Understanding polymer behavior in confined spaces is crucial for nanotechnology.
- Polymer blends exhibit complex dynamics influenced by architecture and confinement.
Purpose of the Study:
- To investigate the imbibition and adsorption kinetics of linear and star cis-1,4-polyisoprene blends in nanoporous anodic aluminum oxide (AAO).
- To explore the influence of polymer architecture and viscosity on confinement dynamics.
- To establish relationships between imbibition and adsorption timescales.
Main Methods:
- In situ nanodielectric spectroscopy was employed to monitor polymer chain dynamics.
- Symmetric linear/star cis-1,4-polyisoprene blends with varying molar masses were used.
- Analysis focused on the longest chain modes and dielectric strength evolution.
Main Results:
- Imbibition kinetics differed between linear and star polymers, with lower viscosity components penetrating first.
- Adsorption kinetics were generally slower in blends compared to homopolymers, except when linear chains acted as diluents for stars, inducing topology sorting.
- A universal relationship (τads ∼ 10 × tpeak) was identified, linking adsorption time (τads) to pore filling time (tpeak).
Conclusions:
- Imbibition timescale is a key factor governing polymer adsorption kinetics in nanopores.
- Polymer architecture significantly impacts confinement behavior and self-assembly.
- The findings enable prediction of adsorption times for various polymer architectures based on imbibition dynamics.
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