Mathematical Framework for Combined Modeling of Liquid–Liquid Extraction and Phase Separation in Surfactant-Containing Systems

This study introduces a new, integrated mathematical framework that simultaneously addresses liquid–liquid extraction (LLX) and liquid–liquid phase separation (LLPS) in surfactant-containing systems using a population balance approach. Unlike conventional models that treat extraction and phase separation as distinct stages, the proposed framework unifies both processes to capture the dynamics of droplet interaction, coalescence, and breakage under surfactant influence. By incorporating population balance equations, the model explicitly accounts for how surfactants alter droplet size distributions and interfacial phenomena─both enhancing extraction through increased surface area for mass transfer and delaying separation by stabilizing emulsions and reducing coalescence rates. A comprehensive mixer–settler simulation is employed to quantify the trade-off between improved extraction efficiency and the resulting challenges in phase separation as a function of surfactant concentration. Model predictions, which closely match experimental observations, indicate that optimizing surfactant levels is essential for balancing these competing effects. This dual focus on extraction and phase separation represents a significant advancement in modeling surfactant-containing systems, offering a predictive tool for optimizing both droplet dynamics and overall process performance on an industrial scale.

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Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-05-07
DOI
https://doi.org/10.1021/acs.iecr.5c00727
Citations
1
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.67

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article

Mathematical Framework for Combined Modeling of Liquid–Liquid Extraction and Phase Separation in Surfactant-Containing Systems

Seyed Mahdi Mousavi, Ville Alopaeus
1 citations
Industrial & Engineering Chemistry Research
Fluid Dynamics and Mixing
0.67
article

Mathematical Framework for Combined Modeling of Liquid–Liquid Extraction and Phase Separation in Surfactant-Containing Systems

Seyed Mahdi Mousavi, Ville Alopaeus
article en
1 citations

Abstract

This study introduces a new, integrated mathematical framework that simultaneously addresses liquid–liquid extraction (LLX) and liquid–liquid phase separation (LLPS) in surfactant-containing systems using a population balance approach. Unlike conventional models that treat extraction and phase separation as distinct stages, the proposed framework unifies both processes to capture the dynamics of droplet interaction, coalescence, and breakage under surfactant influence. By incorporating population balance equations, the model explicitly accounts for how surfactants alter droplet size distributions and interfacial phenomena─both enhancing extraction through increased surface area for mass transfer and delaying separation by stabilizing emulsions and reducing coalescence rates. A comprehensive mixer–settler simulation is employed to quantify the trade-off between improved extraction efficiency and the resulting challenges in phase separation as a function of surfactant concentration. Model predictions, which closely match experimental observations, indicate that optimizing surfactant levels is essential for balancing these competing effects. This dual focus on extraction and phase separation represents a significant advancement in modeling surfactant-containing systems, offering a predictive tool for optimizing both droplet dynamics and overall process performance on an industrial scale.

Industrial & Engineering Chemistry ResearchVol. 64(20)
Aalto University (FI)
Neste Foundation
Openalex Percentile: Top 32%
Fluid Dynamics and Mixing
0.67
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