4.8 Article

Contaminant Removal from Nature's Self-Cleaning Surfaces

期刊

NANO LETTERS
卷 23, 期 10, 页码 4234-4241

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.3c00257

关键词

Cicadas; self-cleaning; droplets; nanoparticles; superhydrophobic surfaces

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Using molecular simulations, researchers explain the self-cleaning mechanisms on superhydrophobic surfaces by understanding the interactions between particle-droplet and particle-surface at the nanoscale. They present a universal phase diagram that predicts the removal of particles of varying sizes and adhesive strengths from superhydrophobic surfaces.
Many organisms in nature have evolved superhydrophobic surfaces that leverage water droplets to clean themselves. While this ubiquitous self-cleaning process has substantial industrial promise, experiments have so far been unable to comprehend the underlying physics. With the aid of molecular simulations, here we rationalize and theoretically explain self-cleaning mechanisms by resolving the complex interplay between particle-droplet and particle-surface interactions, which originate at the nanoscale. We present a universal phase diagram that consolidates (a) observations from previous surface self-cleaning experiments conducted at micro-to-millimeter length scales and (b) our nanoscale particle-droplet simulations. Counterintuitively, our analysis shows that an upper limit for the radius of the droplet exists to remove contaminants of a particular size. We are now able to predict when and how particles of varying scale (from nano-to-micrometer) and adhesive strengths are removed from superhydrophobic surfaces.

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