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Equilibrium state model for surfactants in oils: Colloidal assembly and adsorption
Maisa Vuorte1, Susanna Kuitunen2, Paul R Van Tassel3
1Department of Chemistry and Materials Science, School of Chemical Engineering, Aalto University, P.O. Box 16100, FI-00076 Aalto, Finland; Academy of Finland Center of Excellence in Life-Inspired Hybrid Materials (LIBER), Aalto University, P.O. Box 16100, FI-00076 Aalto, Finland.
This study presents a new model for colloidal assembly and adsorption in oils, accurately predicting surfactant behavior and energetics. The model improves understanding of aggregation and adsorption in nonpolar solvents.
Area of Science:
- Colloid and Surface Science
- Physical Chemistry
- Materials Science
Background:
- Colloidal systems in apolar solvents are crucial in various applications, yet their aggregation and adsorption behavior is complex.
- Existing models often struggle to accurately capture the step-wise aggregation and surface phenomena of surfactants in oils.
Purpose of the Study:
- To develop and validate an equilibrium state model for colloidal assembly and adsorption in apolar solvents.
- To investigate the influence of surfactant properties and solvent environment on aggregation and adsorption behavior.
- To provide a computationally feasible tool for predicting surfactant performance in oil-based systems.
Main Methods:
- Development of an equilibrium state model incorporating monomer exchange and surface crowding effects.
- Utilized scaled particle theory (SPT) to model surface phenomena.
- Validated the model against molecular modeling data for oleic acid and monoolein, and experimental adsorption isotherms for phospholipids.
Main Results:
- The model accurately reproduces chemically specific aggregate distributions in both bulk and surface phases.
- A biased state model, accounting for distinct dimer formation, significantly improved accuracy.
- Model fits to phospholipid adsorption data revealed monolayer or aggregate adsorption structures, dependent on head group charge.
Conclusions:
- The presented model offers an accessible and computationally efficient method for estimating colloidal assembly and adsorption in oil environments.
- It enables the assessment of surfactant aggregation propensity and adsorption energetics.
- The model demonstrates broad applicability across different surfactant types and experimental conditions.
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