Patterning droplets with durotaxis

Robert W. Style(Yale University), Yonglu Che(Yale University), Su Ji Park(Pohang University of Science and Technology), Byung Mook Weon(Sungkyunkwan University), Jung Ho Je(Pohang University of Science and Technology), Callen Hyland(Yale University), Guy K. German(Yale University), Michael Power(Yale University), Larry Wilen(Unilever (United States)), J. S. Wettlaufer(Nordic Institute for Theoretical Physics), Eric R. Dufresne(Yale University)
Proceedings of the National Academy of Sciences
June 24, 2013
Cited by 222Open Access
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Abstract

Numerous cell types have shown a remarkable ability to detect and move along gradients in stiffness of an underlying substrate--a process known as durotaxis. The mechanisms underlying durotaxis are still unresolved, but generally believed to involve active sensing and locomotion. Here, we show that simple liquid droplets also undergo durotaxis. By modulating substrate stiffness, we obtain fine control of droplet position on soft, flat substrates. Unlike other control mechanisms, droplet durotaxis works without imposing chemical, thermal, electrical, or topographical gradients. We show that droplet durotaxis can be used to create large-scale droplet patterns and is potentially useful for many applications, such as microfluidics, thermal control, and microfabrication.


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