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    Controllable superhydrophobic surfaces with tunable adhesion fabricated by laser interference lithography

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    Authors
    Dong, Litong
    Zhang, Ziang
    Ding, Ran
    Wang, Lu
    Liu, Mengnan
    Weng, Zhankun
    Wang, Zuobin
    Li, Dayou
    Affiliation
    Changchun University of Science and Technology
    Changchun Observatory
    University of Bedfordshire
    Issue Date
    2019-05-15
    Subjects
    laser interference lithography
    superhydrophobic surface
    tunable water adhesion
    periodic submicron structures
    top area ratio
    J510 Materials Technology
    
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    Abstract
    Superhydrophobic surfaces with tunable wettability have attracted much attention in recent years, and many techniques have been developed to fabricate artificial function structures. However, applications of tunable adhesive superhydrophobic surfaces have been limited due to ambiguous structural factors on wettability. In thispaper, we studied the relationship between the surface adhesion and geometry parameters of periodic submicron structures, and presented a facile approach for the fabrication of controllable superhydrophobic surfaces with tunable adhesion through laser interference lithography (LIL) combined with inductively coupled plasma (ICP) etching. The wettability properties of periodic geometry structures were selected by tailoring the top area ratio of the pillar array. The findings of this work will contribute to quantifying structural parameters on the submicron scale through the combination of three-beam LIL and ICP etching for designing and developing new systems for micro-droplet manipulation. This approach can find potential applications in many fields such as targeted drug delivery, biomolecular quantitative detection, selective liquid transportation and oil/water separation.
    Citation
    Dong L, Zhang Z, Ding R, Wang L, Liu M, Weng Z, Wang Z, Li D. (2019) 'Controllable superhydrophobic surfaces with tunable adhesion fabricated by laser interference lithography', Surface and Coatings Technology, 372 (327), pp.434-441.
    Publisher
    Elsevier
    Journal
    Surface and Coatings Technology
    URI
    http://hdl.handle.net/10547/623616
    DOI
    10.1016/j.surfcoat.2019.05.039
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S0257897219305195
    Type
    Article
    Language
    en
    ISSN
    0257-8972
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.surfcoat.2019.05.039
    Scopus Count
    Collections
    Computing

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