Oil droplet self-transportation on oleophobic surfaces

Juan Li, QiHang Qin, Ali Shah, Robin Ras, Xuelin Tian, Ville Jokinen

Research output: Contribution to journalArticleScientificpeer-review

131 Citations (Scopus)
88 Downloads (Pure)

Abstract

Directional liquid transportation is important for a variety of biological processes and technical applications. Although surface engineering through asymmetric chemical modification or geometrical patterning facilitates effective liquid manipulation and enables water droplet self-transportation on synthetic surfaces, self-transportation of oil droplets poses a major challenge because of their low surface tension. We report oil droplet self-transportation on oleophobic surfaces that are microtextured with radial arrays of undercut stripes. More significantly, we observe three modes of oil motion on various sample surfaces, namely, inward transportation, pinned, and outward spreading, which can be switched by the structure parameters, including stripe intersection angle and width. Accompanying theoretical modeling provides an in-depth mechanistic understanding of the structure–droplet motion relationship. Finally, we reveal how to optimize the texture parameters to maximize oil droplet self-transportation capability and demonstrate spontaneous droplet movement for liquids down to a surface tension of 22.4 mN/m. The surfaces presented here open up new avenues for power-free liquid transportation and oil contamination self-removal applications in various analytical and fluidic devices.
Original languageEnglish
Article numbere1600148
JournalScience Advances
Volume2
DOIs
Publication statusPublished - 17 Jun 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • oil droplet
  • self-transportation
  • wetting
  • oleophobic
  • geometrical gradient
  • undercut structure
  • anisotropic surfaces
  • anti-contamination
  • micro- and nanodevices
  • microfluidics

Fingerprint

Dive into the research topics of 'Oil droplet self-transportation on oleophobic surfaces'. Together they form a unique fingerprint.

Cite this