A computational simulation of electromembrane extraction based on Poisson - Nernst - Planck equations

Area of Science:

• Analytical Chemistry
• Separation Science
• Chemical Engineering

Background:

• Electromembrane extraction (EME) is a promising technique due to its efficiency.
• Understanding ion transport mechanisms in supported liquid membranes (SLMs) is crucial for EME optimization.
• Mass transfer in SLMs is influenced by passive diffusion and electric-driven transport.

Purpose of the Study:

• To develop a 2D numerical simulation model for electromembrane extraction.
• To examine mass transfer behavior and analyte recovery in EME devices.
• To identify key parameters affecting EME performance.

Main Methods:

• A 2D numerical simulation was developed to model EME.
• The simulation analyzed mass transfer and analyte recovery.
• Various parameters like concentration, SLM thickness, and pH were investigated.

Main Results:

• The model accurately describes the effect of different parameters on EME recovery.
• Analyte diffusivity, distribution coefficient, and protonation levels were identified as critical factors.
• The simulation predicted the influence of initial analyte concentration, SLM thickness, applied potential, permittivity, diffusion coefficient, and reservoir pH.

Conclusions:

• The developed numerical model aids in predicting mass transfer behavior in EME.
• This model is valuable for the design and optimization of practical EME applications.
• Insights into ion transport mechanisms are provided for enhanced EME performance.