Extracting the hydrodynamic resistance of droplets from their behavior in microchannel networks

• Published in: Biomicrofluidics Vol. 3; no. 1; p. 12804
• Main Authors: Labrot, Vincent, Schindler, Michael, Guillot, Pierre, Colin, Annie, Joanicot, Mathieu
• Format: Journal Article
• Language: English
• Published: United States American Institute of Physics 30.03.2009
• Subjects: Special Topic: Papers from the 82nd American Chemical Society Colloid and Surface Science Symposium, Raleigh, North Carolina, 2008 (Guest Editors: Dimiter Petsev and Patrick S. Doyle)
• ISSN: 1932-1058; 1932-1058
• DOI: 10.1063/1.3109686

The overall traffic of droplets in a network of microfluidic channels is strongly influenced by the liquid properties of the moving droplets. In particular, the effective hydrodynamic resistance of individual droplets plays a key role in their global behavior. Here we propose two simple and low-cost experimental methods for measuring this parameter by analyzing the dynamics of a regular sequence of droplets injected into an “asymmetric loop” network. The choice of a droplet taking either route through the loop is influenced by the presence of previous droplets that modulate the hydrodynamic resistance of the branches they are sitting in. We propose to extract the effective resistance of a droplet from easily observable time series, namely, from the choices the droplets make at junctions and from the interdroplet distances. This becomes possible when utilizing a recently proposed theoretical model based on a number of simplifying assumptions. Here we present several sets of measurements of the hydrodynamic resistance of droplets, expressed in terms of a “resistance length.” The aim is twofold: (1) to reveal its dependence on a number of parameters, such as the viscosity, the volume of droplets, their velocity as well as the spacing between them. At the same time (2), by using a standard measurement technique, we compare the limitations of the proposed methods. As an important result of this comparison, we obtain the range of validity of the simplifying assumptions made in the theoretical model.