journal article·2023-06-27

Colloidal Deposition by Polymer-Surfactant Complexes with Dilution and Shear

Lechuan Zhang, Huda A. Jerri, Michael A. Bevan

Langmuir· Volume 39· Issue 25
Publisher page

Abstract

Deposition of silica microparticles on glass substrates was measured as a function of cationic polymer-anionic surfactant composition and shear rate. Particles were initially deposited in quiescent conditions in different polymer-surfactant compositions, which were chosen based on prior measurements of composition-dependent polymer-surfactant interactions and deposition behavior (up to 0.5 wt % polymer and 12 wt % surfactant). Programmed shear and dilution profiles in a flow cell together with optical microscopy observation were used to continuously track particle deposition, detachment, and redeposition. Knowledge of the shear-dependent torque on each particle provides information on adhesive torque mediated by polymer-surfactant complexes. Detachment of colloids initially deposited by depletion interactions occurs at low shear rates (∼100 s –1 ) due to lack of tangential forces or an adhesive torque. Further dilution produced redeposition of particles that resisted detachment (up to ∼2000 s –1 ) as the result of strong cationic polymer bridge formation, presumably due to preferential surfactant removal. Dilution from different initial compositions indicates a pathway dependence of polymer-surfactant de-complexation into shear-resistant cationic bridges. These findings demonstrate the ability to program deposition behavior via the informed design of initial polymer-surfactant compositions and shear profiles. The particle trajectory analysis developed in this work provides an assay to screen composition-dependent colloidal deposition in diverse materials and applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Surfactants and Colloidal Systems · Polymer Surface Interaction Studies · Pickering emulsions and particle stabilization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States

R&D Division, Firmenich Inc., Plainsboro, New Jersey 08536, United States

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