Rheology as a tool for identifying and characterizing optimal microemulsions formulations

Abstract This study investigates the use of rheology to detect phase inversion in surfactant–oil–water (SOW) systems, offering a rapid method for identifying “optimal formulations.” Phase inversion through temperature or salinity variation provides a faster alternative compared with equilibrium scans. Using well‐defined polyethoxylated surfactants (C 8 EO 3 , C 10 EO 4 , C 12 EO 5 ), phase inversion was monitored through viscosity measurements at a constant shear rate, with temperature as formulation variable. Emulsion viscosity reaches a minimum at the phase inversion point, which corresponds to an ultra‐low interfacial tension condition. A strong correlation between the reported fish‐tail temperature ( T *) and the phase inversion temperature (PIT) was observed. While identifying optimal conditions through a formulation scan in a series of test tubes is relatively quick, evaluating the surfactant system's ability to reduce interfacial tension can take several weeks due to the requirement of equilibrium. Formulation conditions at which minimal emulsion viscosity occurs are related to those where three‐phase systems are obtained, with the magnitude of interfacial tension inversely proportional to this value. An empirical approach linking the emulsion destabilization zone with the interfacial tensions is proposed. By measuring this interval, it is possible to roughly predict interfacial tension for model systems.

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Publication Details

Journal
Journal of Surfactants and Detergents
Published
2024-12-21
DOI
https://doi.org/10.1002/jsde.12827
Citations
1
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
Field-Weighted Citation Impact
0.34

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article

Rheology as a tool for identifying and characterizing optimal microemulsions formulations

Jean‐Marie Aubry, Jesús F. Ontiveros, Valérie Molinier, Guillaume Lemahieu
1 citations
Journal of Surfactants and Detergents
Enhanced Oil Recovery Techniques
0.34
article

Rheology as a tool for identifying and characterizing optimal microemulsions formulations

Jean‐Marie Aubry, Jesús F. Ontiveros, Valérie Molinier, Guillaume Lemahieu
article en
1 citations

Abstract

Abstract This study investigates the use of rheology to detect phase inversion in surfactant–oil–water (SOW) systems, offering a rapid method for identifying “optimal formulations.” Phase inversion through temperature or salinity variation provides a faster alternative compared with equilibrium scans. Using well‐defined polyethoxylated surfactants (C 8 EO 3 , C 10 EO 4 , C 12 EO 5 ), phase inversion was monitored through viscosity measurements at a constant shear rate, with temperature as formulation variable. Emulsion viscosity reaches a minimum at the phase inversion point, which corresponds to an ultra‐low interfacial tension condition. A strong correlation between the reported fish‐tail temperature ( T *) and the phase inversion temperature (PIT) was observed. While identifying optimal conditions through a formulation scan in a series of test tubes is relatively quick, evaluating the surfactant system's ability to reduce interfacial tension can take several weeks due to the requirement of equilibrium. Formulation conditions at which minimal emulsion viscosity occurs are related to those where three‐phase systems are obtained, with the magnitude of interfacial tension inversely proportional to this value. An empirical approach linking the emulsion destabilization zone with the interfacial tensions is proposed. By measuring this interval, it is possible to roughly predict interfacial tension for model systems.

Journal of Surfactants and DetergentsVol. 28(3)
Total (France) (FR), Centre National de la Recherche Scientifique (FR), Université de Lille (FR), Unité de catalyse et de chimie du solide de Lille (FR), Université d'Artois (FR), École Centrale de Lille (FR)
Ministère de l'Enseignement Supérieur et de la Recherche, Total, Institut Chevreul
Clean water and sanitation
Openalex Percentile: Top 37%
Enhanced Oil Recovery Techniques
0.34
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