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Updated: Feb 28, 2026

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

Published on: August 28, 2015

Physical Texturing for Superhydrophobic Polymeric Surfaces: A Design Perspective.

Jing Yang Quek¹, Christopher L Magee², Hong Yee Low¹

¹Engineering Product Development, Singapore University of Technology and Design , 8 Somapah Road, 487372, Singapore.

Langmuir : the ACS Journal of Surfaces and Colloids

|June 20, 2017

Summary

This study introduces a new classification system for surface topographies to guide the engineering of superhydrophobic surfaces. It categorizes common patterns and predicts hydrophobicity improvements for better design rules.

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Last Updated: Feb 28, 2026

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

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Published on: August 28, 2015

Fabrication of Superhydrophobic Metal Surfaces for Anti-Icing Applications

Fabrication of Superhydrophobic Metal Surfaces for Anti-Icing Applications

Published on: August 15, 2018

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Rendering SiO2/Si Surfaces Omniphobic by Carving Gas-Entrapping Microtextures Comprising Reentrant and Doubly Reentrant Cavities or Pillars

Published on: February 11, 2020

Area of Science:

Materials Science
Surface Science
Nanotechnology

Background:

Classical wetting theories (Cassie-Baxter, Wenzel) often fail to predict complex superhydrophobic surfaces, especially biomimetic ones.
Existing theories explain natural phenomena but lack predictive power for designing novel topographies.
There is a need for systematic design rules to achieve desired superhydrophobic properties.

Purpose of the Study:

To develop a classification system for surface topographies to guide the engineering of superhydrophobic surfaces.
To provide selection guidelines for creating surfaces with controlled wetting properties.
To establish a foundation for comprehensive design rules for superhydrophobicity.

Main Methods:

Grouping known superhydrophobic surface topographies based on common geometrical descriptions and length scales.
Analyzing design patterns to identify frequently reported and commonly used descriptions.
Evaluating the degree of hydrophobicity improvement within different topography classes.

Main Results:

Identification of a set of commonly used geometrical descriptions across diverse superhydrophobic surface designs.
Demonstration that hydrophobicity improvement within a topography class can predict the ultimate performance limit for a given material.
Establishment of a preliminary classification system for surface topographies.

Conclusions:

The proposed classification system offers practical guidelines for selecting surface topographies to engineer superhydrophobic surfaces.
This work serves as a precursor to a complete set of design rules for achieving predictable superhydrophobic performance.
Understanding topography-performance relationships is crucial for advancing the design of functional materials.