Literature DB >> 20092298

Nano to micro structural hierarchy is crucial for stable superhydrophobic and water-repellent surfaces.

Yewang Su1, Baohua Ji, Kai Zhang, Huajian Gao, Yonggang Huang, Kehchih Hwang.   

Abstract

Water-repellent biological systems such as lotus leaves and water strider's legs exhibit two-level hierarchical surface structures with the smallest characteristic size on the order of a few hundreds nanometers. Here we show that such nano to micro structural hierarchy is crucial for a superhydrophobic and water-repellent surface. The first level structure at the scale of a few hundred nanometers allows the surface to sustain the highest pressure found in the natural environment of plants and insects in order to maintain a stable Cassie state. The second level structure leads to dramatic reduction in contact area, hence minimizing adhesion between water and the solid surface. The two level hierarchy further stabilizes the superhydrophobic state by enlarging the energy difference between the Cassie and the Wenzel states. The stability of Cassie state at the nanostructural scale also allows the higher level structures to restore superhydrophobicity easily after the impact of a rainfall.

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Year:  2010        PMID: 20092298     DOI: 10.1021/la9036452

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  12 in total

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5.  Novel Omniphobic Platform for Multicellular Spheroid Generation, Drug Screening, and On-Plate Analysis.

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6.  High Throughput Direct Laser Interferential Patterning of Aluminum for Fabrication of Super Hydrophobic Surfaces.

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Journal:  Materials (Basel)       Date:  2019-05-07       Impact factor: 3.623

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Journal:  R Soc Open Sci       Date:  2020-12-16       Impact factor: 2.963

8.  Stable superhydrophobic surface of hierarchical carbon nanotubes on Si micropillar arrays.

Authors:  Shaoqing He; Jinquan Wei; Haifan Wang; Deshun Sun; Zhaohui Yao; Chengsong Fu; Ruiqiao Xu; Yi Jia; Hongwei Zhu; Kunlin Wang; Dehai Wu
Journal:  Nanoscale Res Lett       Date:  2013-10-07       Impact factor: 4.703

9.  Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior.

Authors:  Xia Zhang; Bei Ding; Ran Cheng; Sebastian C Dixon; Yao Lu
Journal:  Adv Sci (Weinh)       Date:  2017-12-08       Impact factor: 16.806

10.  Entrapment and Dissolution of Microbubbles Inside Microwells.

Authors:  Xiaolai Li; Yuliang Wang; Binglin Zeng; Yanshen Li; Huanshu Tan; Harold J W Zandvliet; Xuehua Zhang; Detlef Lohse
Journal:  Langmuir       Date:  2018-08-23       Impact factor: 3.882

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