4.6 Article

Hierarchical Surface Architecture of Plants as an Inspiration for Biomimetic Fog Collectors

Journal

LANGMUIR
Volume 31, Issue 48, Pages 13172-13179

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.langmuir.5b02430

Keywords

-

Funding

  1. Graduate School of Bionics under the Ph.D. program (DFG Graduiertenkolleg GRK1572): Bionics-Interaction across boundaries to the environment, in University of Bonn, Germany - German Research Foundation (DFG)

Ask authors/readers for more resources

Fog collectors can enable us to alleviate the water crisis in certain arid regions of the world. A continuous fog-collection cycle consisting of a persistent capture of fog droplets and their fast transport to the target is a prerequisite for developing an efficient fog collector. In regard to this topic, a biological superior design has been found in the hierarchical surface architecture of barley (Hordeum vulgare) awns. We demonstrate here the highly wettable (advancing contact angle 16 degrees +/- 2.7 and receding contact angle 9 degrees +/- 2.6) barbed (barb = conical structure) awn as a model to develop optimized fog collectors with a high fog-capturing capability, an effective water transport, and above all an efficient fog collection. We compare the fog-collection efficiency of the model sample with other plant samples naturally grown in foggy habitats that are supposed to be very efficient fog collectors. The model sample, consisting of dry hydrophilized awns (DH awns), is found to be about twice as efficient (fog-collection rate 563.7 +/- 23.2 mu g/cm(2) over 10 min) as any other samples investigated under controlled experimental conditions. Finally, a design based on the hierarchical surface architecture of the model sample is proposed for the development of optimized biomimetic fog collectors.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available