Quantitative Insights Into Electrostatics And Structure Of Polymer Brushes From Microslit Electrokinetic Experiments And Advanced Modelling Of Interfacial Electrohydrodynamics
Abstract
The development of theories for the electrohydrodynamics at soft surfaces enabled major progress in the quantitative interpretation of streaming current and surface conductivity data collected for polymer brushes. In this paper, we review the basics of the methodology and discuss illustrative examples of practical interest. In particular, we demonstrate how the combination of self-consistent field and soft surface electrokinetic theories using Poisson–Boltzmann (PB) formulations allow the evaluation of the segment density distribution within poly(ethylene oxide) brushes beyond the resolution limits of neutron reflectivity. The application of the methodology for the analysis of the charge, structure, and pairing with chaotropic anions is illustrated for strong cationic poly(2-(methacryloyloxy)ethyltrimethylammonium chloride) brushes. Finally, we report refinements of the PB theory that account for ion hydration, ion pairing, and dielectric decrement in brushes and we present an example of glycosaminoglycan brushes where those effects are significant.
Recommended Citation
Zimmermann, R., Duval, J. F., Werner, C., & Sterling, J. D. (2022). Quantitative Insights Into Electrostatics And Structure Of Polymer Brushes From Microslit Electrokinetic Experiments And Advanced Modelling Of Interfacial Electrohydrodynamics. Current Opinion in Colloid and Interface Science, 59 Elsevier.
The definitive version is available at https://doi.org/10.1016/j.cocis.2022.101590
Department(s)
Business and Information Technology
Second Department
Chemical and Biochemical Engineering
Keywords and Phrases
Born forces; Dielectric decrement; Electrohydrodynamics; Ion pairing; Molecular dynamic simulations; Polymer brushes; Self-consistent field theory; Streaming current; Surface conductivity
International Standard Serial Number (ISSN)
1879-0399; 1359-0294
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Elsevier, All rights reserved.
Publication Date
01 Jun 2022
