Skip navigation

Probing selective adsorption in cationic-polymer induced aggregation of binary anionic particulate dispersions using solvent relaxation NMR

Probing selective adsorption in cationic-polymer induced aggregation of binary anionic particulate dispersions using solvent relaxation NMR

Abdullahi, Wasiu, Crossman, Martin and Griffiths, Peter ORCID logoORCID: https://orcid.org/0000-0002-6686-1271 (2022) Probing selective adsorption in cationic-polymer induced aggregation of binary anionic particulate dispersions using solvent relaxation NMR. Polymers, 14 (9):1875. ISSN 2073-4360 (Online) (doi:10.3390/polym14091875)

[thumbnail of Publisher VoR]
Preview
PDF (Publisher VoR)
36084_GRIFFITHS_Probing_selective_adsorption.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

NMR solvent relaxation has been used to characterize the surfaces present in binary anionic particle dispersions, before and after exposure to a cationic polymer. In the polymer-free case, it is shown that the measured specific relaxation rate of the solvent is a population-weighted average of all surfaces present, enabling preferential adsorption to be explored. The addition of the oppositely charged polymer led to phase separation, which was accelerated by gentle centrifugation. The measured relaxation rates and the equilibrium particle concentrations indicate that the cationic hydroxyethylcellulose polymer (HEC LR) exhibited no significant preference for either latex or laponite in binary blends with silica, but a strong preference for TiO2. This study illustrates the versatility of solvent relaxation to probe surface area, surface type and dispersion composition in complex formulations.

Item Type: Article
Uncontrolled Keywords: solvent relaxation; polymer adsorption; formulation; phase separation; preferential adsorption; NMR solvent relaxation
Subjects: Q Science > QD Chemistry
T Technology > TP Chemical technology
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Materials & Analysis Research Group
Faculty of Engineering & Science > School of Science (SCI)
Last Modified: 09 May 2022 09:49
URI: http://gala.gre.ac.uk/id/eprint/36084

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics