Mapping microscale wetting variations on biological and synthetic water-repellent surfaces

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Liimatainen, Ville Vuckovac, Maja Jokinen, Ville Sariola, Veikko Hokkanen, Matti Zhou, Quan Ras, Robin 2018-02-09T09:59:33Z 2018-02-09T09:59:33Z 2017-11-27
dc.identifier.citation Liimatainen , V , Vuckovac , M , Jokinen , V , Sariola , V , Hokkanen , M , Zhou , Q & Ras , R 2017 , ' Mapping microscale wetting variations on biological and synthetic water-repellent surfaces ' NATURE COMMUNICATIONS , vol 8 , no. 1 , 1798 , pp. 1-7 . DOI: 10.1038/s41467-017-01510-7 en
dc.identifier.issn 2041-1723
dc.identifier.other PURE UUID: 73955b9a-8a0c-432c-9b39-9cab7ed95aa0
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE LINK:
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dc.description.abstract Droplets slip and bounce on superhydrophobic surfaces, enabling remarkable functions in biology and technology. These surfaces often contain microscopic irregularities in surface texture and chemical composition, which may affect or even govern macroscopic wetting phenomena. However, effective ways to quantify and map microscopic variations of wettability are still missing, because existing contact angle and force-based methods lack sensitivity and spatial resolution. Here, we introduce wetting maps that visualize local variations in wetting through droplet adhesion forces, which correlate with wettability. We develop scanning droplet adhesion microscopy, a technique to obtain wetting maps with spatial resolution down to 10 µm and three orders of magnitude better force sensitivity than current tensiometers. The microscope allows characterization of challenging non-flat surfaces, like the butterfly wing, previously difficult to characterize by contact angle method due to obscured view. Furthermore, the technique reveals wetting heterogeneity of micropillared model surfaces previously assumed to be uniform. en
dc.format.extent 1-7
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation info:eu-repo/grantAgreement/EC/H2020/725513/EU//SuperRepel
dc.relation.ispartofseries NATURE COMMUNICATIONS en
dc.relation.ispartofseries Volume 8, issue 1 en
dc.rights openAccess en
dc.subject.other Surfaces and Interfaces en
dc.subject.other Surfaces, Coatings and Films en
dc.subject.other Electrical and Electronic Engineering en
dc.subject.other Control and Systems Engineering en
dc.subject.other 114 Physical sciences en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.subject.other 216 Materials engineering en
dc.subject.other 214 Mechanical engineering en
dc.subject.other 221 Nanotechnology en
dc.subject.other Biological and soft matter physics en
dc.subject.other Mechanical engineering and manufacturing technology en
dc.subject.other Automation and systems technology en
dc.title Mapping microscale wetting variations on biological and synthetic water-repellent surfaces en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Electrical Engineering and Automation
dc.contributor.department Department of Applied Physics
dc.contributor.department Department of Chemistry and Materials Science
dc.contributor.department Department of Bioproducts and Biosystems en
dc.subject.keyword Scanning droplet adhesion microscopy
dc.subject.keyword wetting
dc.subject.keyword superhydrophobic
dc.subject.keyword WATER-REPELLENT
dc.subject.keyword micromanipulation
dc.subject.keyword Robotics
dc.subject.keyword automation
dc.subject.keyword Surfaces and Interfaces
dc.subject.keyword Surfaces, Coatings and Films
dc.subject.keyword Electrical and Electronic Engineering
dc.subject.keyword Control and Systems Engineering
dc.subject.keyword 114 Physical sciences
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.subject.keyword 216 Materials engineering
dc.subject.keyword 214 Mechanical engineering
dc.subject.keyword 221 Nanotechnology
dc.subject.keyword Biological and soft matter physics
dc.subject.keyword Mechanical engineering and manufacturing technology
dc.subject.keyword Automation and systems technology
dc.identifier.urn URN:NBN:fi:aalto-201802091360
dc.identifier.doi 10.1038/s41467-017-01510-7
dc.type.version publishedVersion

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