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Through-Drop Imaging of Liquid-Solid Interfaces: From Contact Angle Variations Along the Droplet Perimeter to Mapping of Contact Angles Across a Surface.
Vieira, Arthur; Jokinen, Ville; Lepikko, Sakari; Ras, Robin H A; Zhou, Quan.
Affiliation
  • Vieira A; Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Maarintie 8, 02150 Espoo, Finland.
  • Jokinen V; Department of Chemistry and Materials Science, School of Chemical Engineering, Aalto University, Tietotie 3, 02150 Espoo, Finland.
  • Lepikko S; Department of Applied Physics, Aalto University, 02150 Espoo, Finland.
  • Ras RHA; Centre of Excellence in Life-Inspired Hybrid Materials (LIBER), Aalto University, 02150 Espoo, Finland.
  • Zhou Q; Department of Applied Physics, Aalto University, 02150 Espoo, Finland.
Langmuir ; 40(17): 9059-9067, 2024 Apr 30.
Article in En | MEDLINE | ID: mdl-38621291
ABSTRACT
When a droplet interacts with a water-repellent surface, its triple-phase contact line typically exhibits varying contact angles, which can vary from point-to-point across the surface. Consequently, measuring the contact angles along the contact line would provide a better representation of the wetting properties of the surface than a single average contact angle. However, an effective method for estimating the local contact angle along the contact line on opaque hydrophobic surfaces is currently lacking. Here we present a method that combines through-drop imaging of the wetting interface during a sliding experiment with Finite Element Modeling of the droplet to estimate contact angle values along the contact line. Using this method, the mean advancing and receding contact angles were measured on four types of hydrophobic samples with contact angles between 99 and 178.9°. The method was further used to produce detailed advancing and receding contact angle maps of surfaces with wetting patterns with an unprecedented resolution of 3 µm.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2024 Type: Article Affiliation country: Finland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2024 Type: Article Affiliation country: Finland