Microfluidic droplet-based liquid-liquid extraction: online model validation

Area of Science:

• Chemical Engineering
• Microfluidics
• Separation Science

Background:

• Liquid-liquid extraction is crucial in chemical processes.
• Microfluidic devices offer enhanced control and efficiency for extraction.
• Droplet-based systems present unique advantages in microchannel extraction.

Purpose of the Study:

• To develop and validate a comprehensive 3D mathematical model for droplet-based liquid-liquid extraction in microchannels.
• To investigate the transport characteristics governing droplet-based microfluidic systems.
• To compare model predictions with high-resolution experimental data.

Main Methods:

• Development of a full 3D mathematical model including convection, diffusion, and velocity profiles.
• Application of the finite elements method to solve conservation equations for mass, moment, and solute concentration.
• Online experimental validation using a thermal lens microscopic (TLM) technique coupled with microfluidics.

Main Results:

• The 3D model accurately depicted transport phenomena in droplet-based microfluidics.
• Numerical simulations showed good agreement with experimental data without parameter fitting.
• High spatial and temporal resolution concentration profiles were obtained experimentally.

Conclusions:

• The developed 3D model is a reliable tool for simulating droplet-based microfluidic extraction.
• The study demonstrates effective integration of theoretical modeling and experimental validation.
• This work advances the understanding and application of microfluidic separation technologies.