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The lotus effect refers to self-cleaning properties that are a result of ultrahydrophobicity as exhibited by the leaves of Nelumbo, the lotus flower. [1] Dirt particles are picked up by water droplets due to the micro- and nanoscopic architecture on the surface, which minimizes the droplet's adhesion to that surface.
A drop on a lotus surface, with a contact angle of greater than 146°. A water droplet falling onto a superhydrophobic, elastic surface. In chemistry and materials science, ultrahydrophobic (or superhydrophobic) surfaces are highly hydrophobic, i.e., extremely difficult to wet.
A water drop on a lotus plant leaf. Superhydrophobic surfaces, such as the leaves of the lotus plant, are those that are extremely difficult to wet. The contact angles of a water droplet exceeds 150°. [6] This is referred to as the lotus effect, and is primarily a chemical property related to interfacial tension, rather than a chemical ...
This so-called Wenzel-effect surface or lotus effect surface has less contact area by an amount proportional to the recessed area, giving it a high contact angle. The recessed surface has a proportionately diminished attraction foreign liquids or solids and permanently stays cleaner.
Lotus flower. The sacred lotus flower is an aquatic perennial plant that typically blooms vibrant petals of pink and white shades. It is one of the most beautiful plants to look at, but the lotus ...
The Thai island Koh Samui is about to be hit by the “White Lotus Effect”. Filming for the third series is currently underway and when the show is finally released in early 2025, the island ...
Even eating a gummy on a full stomach can delay or prolong the effect of an edible. However, in general, most experts advise that if you’re going to eat a gummy, you should wait anywhere from ...
In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question.