<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hokkanen MJ</submitter><funding>Academy of Finland</funding><funding>European Research Council</funding><funding>Aalto University AScI/ELEC Thematic Research Programme</funding><funding>Business Finland Project TUTL-SDAM</funding><pagination>e2105130</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11468561</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>33(42)</volume><pubmed_abstract>Superhydrophobic coatings have extraordinary properties like self-cleaning and staying dry, and have recently appeared on industrial and consumer markets. The stochastic nature of the coating components and coating processes (e.g., spraying, painting) affects the uniformity of the water repellency across the coated substrate. The wetting properties of those coatings are typically quantified on macroscale using contact angle goniometry (CAG). Here, highly sensitive force-based methods, scanning droplet adhesion microscopy (SDAM), and micropipette force sensor (MFS), are used, to quantify the microscale heterogeneity in the wetting properties of stochastic superhydrophobic coatings with irregular surface topography that cannot be investigated by CAG. By mapping the wetting adhesion forces wi</pubmed_abstract><journal>Advanced materials (Deerfield Beach, Fla.)</journal><pubmed_title>Force-Based Wetting Characterization of Stochastic Superhydrophobic Coatings at Nanonewton Sensitivity.</pubmed_title><pmcid>PMC11468561</pmcid><funding_grant_id>272361</funding_grant_id><funding_grant_id>725513-SuperRepel</funding_grant_id><funding_grant_id>ERC-2016-CoGl</funding_grant_id><funding_grant_id>725513‐SuperRepel</funding_grant_id><funding_grant_id>ERC‐2016‐CoGl</funding_grant_id><funding_grant_id>6798/31/2017</funding_grant_id><funding_grant_id>309237</funding_grant_id><pubmed_authors>Zhou Q</pubmed_authors><pubmed_authors>Hokkanen MJ</pubmed_authors><pubmed_authors>Vuckovac M</pubmed_authors><pubmed_authors>Ras RHA</pubmed_authors><pubmed_authors>Backholm M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Force-Based Wetting Characterization of Stochastic Superhydrophobic Coatings at Nanonewton Sensitivity.</name><description>Superhydrophobic coatings have extraordinary properties like self-cleaning and staying dry, and have recently appeared on industrial and consumer markets. The stochastic nature of the coating components and coating processes (e.g., spraying, painting) affects the uniformity of the water repellency across the coated substrate. The wetting properties of those coatings are typically quantified on macroscale using contact angle goniometry (CAG). Here, highly sensitive force-based methods, scanning droplet adhesion microscopy (SDAM), and micropipette force sensor (MFS), are used, to quantify the microscale heterogeneity in the wetting properties of stochastic superhydrophobic coatings with irregular surface topography that cannot be investigated by CAG. By mapping the wetting adhesion forces wi</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-04-04T02:17:12.084Z</modification><creation>2025-04-04T02:17:12.084Z</creation></dates><accession>S-EPMC11468561</accession><cross_references><pubmed>34469006</pubmed><doi>10.1002/adma.202105130</doi></cross_references></HashMap>