Image of a natural lotus leaf surface with bumps in size of about ten
micrometers and spikes of below one micrometer.
Studies reveal a new way to make superhydrophobic surfaces with better
self-cleaning capabilities
Many plants and animals have
textured surfaces on their body for manipulating water. Some textured surfaces
are designed, for example, to improve adhesion, while others may enable the
collection of water from fog in arid regions. The lotus leaf, in particular, is
the most widely cited example of having a textured surface with self-cleaning
properties (see image).
The surface of the lotus leaf has
a hierarchical structure — comprising both micrometer and submicrometer
features — that makes it difficult for water droplets to spread. As a result,
water droplets form tight spheres that easily roll off the leaf, picking up
dirt particles en route. Such functionality can become useful if applied to
textiles or windows, and may also be used in analytical techniques for
controlling fluid flow.
Linda Yongling Wu at the A*STAR
Singapore Institute of Manufacturing Technology and co-workers1 have now
developed a fast and cost-efficient way to fabricate large-scale
superhydrophopic surfaces on a hard material — silica. The researchers used a laser
to carve out a microstructured template that they then used to pattern a
sol-gel coating. Nanoparticles were subsequently bound to the surface of the
cured sol–gel surface to create a second level of hierarchy. The fabrication
methodology can be adjusted to achieve different degrees of micro- and
nanostructures.
In addition to the new
fabrication methodology, Wu and co-workers considered various ways to optimize
the water repellency of the textured surface. They found that increasing the
surface roughness increases the true area of contact between the liquid and the
solid, enhancing its intrinsic wetting properties. However, if the surface
features are small enough, water can bridge protrusions leading to the
formation of air pockets; the wettability of such a nanostructured material is
then calculated as a weighted average of the wettability of the pure material
and that of air. These two effects are known respectively as the Wenzel and
Cassie-Baxter states.
The researchers derived an
equation for calculating the surface contact angle between a water droplet and
a silica surface with a certain degree of roughness. They found that there was
a transition between the Wenzel to the Cassie-Baxter state, as surface
structuring enters the nano dimension. The researchers found that for an
optimum superhydrophobic effect, the Cassie–Baxter state must dominate the
surface structure to allow a massive 83% of the surface state to be involved in
air trapping with only 17% of the liquid drop surface actually in contact with
the silica itself.
The researchers are hoping that
their findings will generate new ideas for making innovative self-cleaning
materials. “We are now developing the technology for real applications, such as
easy-clean coating for solar films and structured surfaces for personal care
products,” says Wu.
The A*STAR-affiliated researchers
contributing to this research are from the Singapore Institute of Manufacturing
Technologies
References
- Wu, L. Y. L., Shao, Q., Wang, X. C., Zheng, H. Y.
& Wong, C. C. Hierarchical structured sol–gel coating by laser
textured template imprinting for surface superhydrophobicity. Soft
Matter 8, 6232 (2012). | article
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