University of Pennsylvania

Gaoxiang Wu

Shu Yang

Daeyeon Lee

Dengteng Ge

Yubo Zhao

Zhiwei Liao

The present invention provides a layered coating adhered to a substrate surface which conforms to a surface topography defined by the anisotropic chain-like silica nanoparticles on the substrate. The layered coating comprises a layer of anisotropic chain-like silica nanoparticles. The anisotropic chain-like silica nanoparticles comprise linked arrays of silica net-negatively charged nanoparticles, each linked array having at least one linear dimension of about 100 nm to about 1200 nm and the anisotropic chain-like silica nanoparticles each have a diameter of about 20 nm to about 80 nm. The substrate surface comprises surface active moieties carrying a net positive charge and the chain-like anisotropic silica nanoparticles are held to the surface by electrostatic charge. Advantageously, the layered coatings are transparent and superhydrophobic. Also provided are articles containing these layered coatings.

Omni-transparent and superhydrophobic coatings assembled from chain-like nanoparticles

The present disclosure provides compositions comprising anisotropic chain-like silica nanoparticles functionalized with hydrophilic groups. The anisotropic chain-like silica nanoparticles comprise linked arrays of charged silica nanoparticles, each linked array have at least one linear dimension of from about 100 nm to about 1200 nm and the anisotropic chain-like silica nanoparticles each in have a diameter of from about 10 nm to about 500 nm. These compositions are superoleophobic in the presence of water, e.g., when submerged in water. Also provided are layered coatings comprising these compositions, substrates comprising the layered coatings, articles comprising the layered coatings, methods of filtering a mixture of water and an oil using the compositions described herein, and methods of preparing a superoleophobic coating on a substrate using the compositions described herein.

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Philadelphia, PA, United States of America

Gaoxiang Wu