A microfluidic study of liquid-liquid extraction mediated by carbon dioxide
Gabriella Lestari1, Alinaghi Salari1, Milad Abolhasani2
1Department of Chemical Engineering, University of Toronto, 200 College Street, Toronto, ON M5S 3E5, Canada.
Lab on a Chip
|June 22, 2016
Summary
This study introduces a microfluidic platform for efficient screening of CO2-mediated liquid-liquid extraction. This method accelerates the development of switchable solvents for greener separation processes.
Area of Science:
- Chemical Engineering
- Separation Science
- Microfluidics
Background:
- Liquid-liquid extraction is crucial for separation and purification but faces challenges in energy-intensive solvent recovery.
- Switchable solvents reacting with carbon dioxide (CO2) offer a promising solution to reduce energy consumption and environmental impact in solvent recovery.
Purpose of the Study:
- To develop a microfluidic strategy for efficient and rapid evaluation of switchable solvents in CO2-mediated liquid-liquid extraction.
- To enable high-throughput screening of switchable solvents and optimize extraction conditions.
Main Methods:
- A microfluidic platform was designed to study CO2-mediated solvent extraction using droplets of aqueous extractant and switchable solvent in a non-polar liquid.
- Gaseous CO2 was supplied to the microfluidic segment, inducing a phase transfer of the switchable solvent.
- Time-dependent droplet volume variations were monitored to determine extraction efficiency and kinetics.
Main Results:
- The microfluidic platform enabled time- and labor-efficient studies of CO2-mediated extraction.
- Accurate temporal characterization of the extraction process was achieved, reducing the required amount of switchable solvents.
- The platform demonstrated high-throughput screening capabilities for various nitrogenous bases.
Conclusions:
- The developed microfluidic strategy significantly enhances the evaluation and screening of switchable solvents for reactive liquid-liquid extraction.
- This approach accelerates the optimization of greener and more energy-efficient separation processes.
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