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Measuring mutual diffusion coefficients in aqueous binary mixtures with unidimensional drying cells.

Kevin Roger¹, Omer Atasi¹, Benjamin Lalanne¹

¹Laboratoire de Génie Chimique, Université de Toulouse, CNRS, Institut National Polytechnique de Toulouse, Université Paul Sabatier, Toulouse, France. kevin.roger@cnrs.fr.

Physical Chemistry Chemical Physics : PCCP

|December 15, 2022

Summary

This summary is machine-generated.

Researchers developed a new method to measure mutual diffusion coefficients in binary liquid mixtures. This technique reveals how diffusion changes with concentration, crucial for understanding complex solutions like PNIPAM/water.

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Area of Science:

Physical Chemistry
Materials Science
Chemical Engineering

Background:

Chemical diffusion is a fundamental mass transport process driven by thermal motion.
In binary mixtures, mutual diffusion describes the counter-diffusion of two species, quantified by a single mutual diffusion coefficient.

Purpose of the Study:

To present a simple, general method for measuring mutual diffusion coefficients in binary liquid mixtures.
To investigate the concentration-dependent mutual diffusion in the PNIPAM/water system.

Main Methods:

Utilized a unidirectional drying cell combined with Raman microscopy for spatially-resolved characterization.
Generated concentration gradients between boundaries of constant chemical potential.
Employed a scaling law derived from the diffusion-advection equation to analyze time-dependent concentration profiles.

Main Results:

Developed an analytical formula linking concentration gradients to the concentration-dependent mutual diffusion coefficient.
Observed a sharp decrease in the mutual diffusion coefficient of PNIPAM/water at low water content.
Demonstrated that time-dependent concentration data collapses to a master curve via a variable change.

Conclusions:

The study provides a practical method for measuring concentration-dependent mutual diffusion coefficients in binary liquid mixtures.
Highlights the significance of considering concentration-dependence in complex solutions, exemplified by PNIPAM/water.
The developed scaling law offers a robust framework for analyzing diffusion processes.