Visualization and quantification of local concentration gradients in evaporating water/glycerol droplets with micrometer resolution
成果类型:
Article
署名作者:
Erb, Alexander; Kind, Jonas; Zankel, Timon L.; Stark, Robert W.; Thiele, Christina M.
署名单位:
Technical University of Darmstadt; Technical University of Darmstadt
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-12226
DOI:
10.1073/pnas.2423660122
发表日期:
2025-05-14
关键词:
binary-mixture droplets
quantitative-analysis
spectroscopy
isis
mri
摘要:
Evaporation of sessile multicomponent droplets is ubiquitous in many common processes, such as printing, cooling, and coating. The evaporation rate is not evenly distributed across the surface of the droplet. As a result, there are regions with high evaporation rates in which the more volatile part evaporates preferentially; this can induce local surface tension gradients, which, in combination with density differences, can lead to flows within the droplet originating from local concentration gradients. Current experimental methods are based on the addition of markers that can alter liquid properties. Thus, marker-free experimental evidence for the concentration fields proposed is needed. In this work, we use Raman imaging and MRI to quantify concentration gradients in 4.2 mu L droplets of 90 mol% water and 10 mol% glycerol. MRI concentration maps with 33 mu m resolution enable the investigation of local concentrations as close as 100 mu m to the 3-phase contact line. Raman imaging allows even higher resolution and longer observation times. The results of both methods are in excellent agreement. In accordance with the simulations, an increasing glycerol content close to the 3-phase contact line was found. Close to the droplet apex, the glycerol content decreased. The horizontal and vertical concentration gradients were on the order of 1 x 10-2 mol%mu m-1. These findings can be used for the development and optimization of inks, medical diagnostic devices, food processing procedures, 3D bioprinting, and many more; they might provide the experimental concentration fields sought for the optimization of simulations.