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Title: Antifogging abilities of model nanotextures

Abstract

Nanometre-scale features with special shapes impart a broad spectrum of unique properties to the surface of insects. These properties are essential for the animal’s survival, and include the low light reflectance of moth eyes, the oil repellency of springtail carapaces and the ultra-adhesive nature of palmtree bugs. Antireflective mosquito eyes and cicada wings are also known to exhibit some antifogging and self-cleaning properties. In all cases, the combination of small feature size and optimal shape provides exceptional surface properties. In this work, we investigate the underlying antifogging mechanism in model materials designed to mimic natural systems, and explain the importance of the texture’s feature size and shape. While exposure to fog strongly compromises the water-repellency of hydrophobic structures, this failure can be minimized by scaling the texture down to nanosize. Furthermore, this undesired effect even becomes non-measurable if the hydrophobic surface consists of nanocones, which generate antifogging efficiency close to unity and water departure of droplets smaller than 2 μm.

Authors:
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Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1346754
Report Number(s):
BNL-113650-2017-JA
Journal ID: ISSN 1476-1122; KC0403020
Grant/Contract Number:  
SC00112704
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Nature Materials
Additional Journal Information:
Journal Volume: 16; Journal Issue: 6; Journal ID: ISSN 1476-1122
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
77 NANOSCIENCE AND NANOTECHNOLOGY

Citation Formats

Mouterde, Timothée, Lehoucq, Gaëlle, Xavier, Stéphane, Checco, Antonio, Black, Charles T., Rahman, Atikur, Midavaine, Thierry, Clanet, Christophe, and Quéré, David. Antifogging abilities of model nanotextures. United States: N. p., 2017. Web. doi:10.1038/nmat4868.
Mouterde, Timothée, Lehoucq, Gaëlle, Xavier, Stéphane, Checco, Antonio, Black, Charles T., Rahman, Atikur, Midavaine, Thierry, Clanet, Christophe, & Quéré, David. Antifogging abilities of model nanotextures. United States. doi:10.1038/nmat4868.
Mouterde, Timothée, Lehoucq, Gaëlle, Xavier, Stéphane, Checco, Antonio, Black, Charles T., Rahman, Atikur, Midavaine, Thierry, Clanet, Christophe, and Quéré, David. Mon . "Antifogging abilities of model nanotextures". United States. doi:10.1038/nmat4868. https://www.osti.gov/servlets/purl/1346754.
@article{osti_1346754,
title = {Antifogging abilities of model nanotextures},
author = {Mouterde, Timothée and Lehoucq, Gaëlle and Xavier, Stéphane and Checco, Antonio and Black, Charles T. and Rahman, Atikur and Midavaine, Thierry and Clanet, Christophe and Quéré, David},
abstractNote = {Nanometre-scale features with special shapes impart a broad spectrum of unique properties to the surface of insects. These properties are essential for the animal’s survival, and include the low light reflectance of moth eyes, the oil repellency of springtail carapaces and the ultra-adhesive nature of palmtree bugs. Antireflective mosquito eyes and cicada wings are also known to exhibit some antifogging and self-cleaning properties. In all cases, the combination of small feature size and optimal shape provides exceptional surface properties. In this work, we investigate the underlying antifogging mechanism in model materials designed to mimic natural systems, and explain the importance of the texture’s feature size and shape. While exposure to fog strongly compromises the water-repellency of hydrophobic structures, this failure can be minimized by scaling the texture down to nanosize. Furthermore, this undesired effect even becomes non-measurable if the hydrophobic surface consists of nanocones, which generate antifogging efficiency close to unity and water departure of droplets smaller than 2 μm.},
doi = {10.1038/nmat4868},
journal = {Nature Materials},
number = 6,
volume = 16,
place = {United States},
year = {Mon Feb 27 00:00:00 EST 2017},
month = {Mon Feb 27 00:00:00 EST 2017}
}

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Free Publicly Available Full Text
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Citation Metrics:
Cited by: 21 works
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Works referenced in this record:

Self-cleaning surfaces — virtual realities
journal, May 2003

  • Blossey, Ralf
  • Nature Materials, Vol. 2, Issue 5, p. 301-306
  • DOI: 10.1038/nmat856

Self-Propelled Dropwise Condensate on Superhydrophobic Surfaces
journal, October 2009