Controllable superhydrophobic surfaces with tunable adhesion fabricated by laser interference lithography
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Affiliation
Changchun University of Science and TechnologyChangchun Observatory
University of Bedfordshire
Issue Date
2019-05-15Subjects
laser interference lithographysuperhydrophobic surface
tunable water adhesion
periodic submicron structures
top area ratio
J510 Materials Technology
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Show full item recordAbstract
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
ElsevierJournal
Surface and Coatings TechnologyAdditional Links
https://www.sciencedirect.com/science/article/pii/S0257897219305195Type
ArticleLanguage
enISSN
0257-8972ae974a485f413a2113503eed53cd6c53
10.1016/j.surfcoat.2019.05.039