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Preparation of Nano-silica with Radial Wrinkle Structures for Self-cleaning and Superhydrophobic Coatings

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Abstract

The superhydrophobic surface with non-wettable property has been widely explored, though, it is still a great challenge to develop an approach to construct a hierarchical roughness both on hard and soft substrates. In this study, the nano-silica with radial wrinkle structures (RWNs) was prepared via one-pot method and functionalized by Hexadecyltrimethoxysilane (CH3-RWNs). The coral-like morphology structure onto hard or soft substrates was created by spraying or immersion process with the ethanolic dispersion of CH3-RWNs. The superhydrophobic surface presented a rough coral-like morphology in Cassie-Baxter state with extremely low adhesion. The coating established a superior hydrophobicity with water contact angle (WCA) larger than 164.7°, and the low adhesion with a sliding angle (SA) below 4.13°. Besides, it also displayed excellent self-cleaning property, highly mechanical robustness, and acidic (pH 1.0)/alkaline (pH 14.0) stability. The nonfluorinated ethanolic dispersion of CH3-RWNs created a coral-like morphology structure on different of substrates that was promising for the construction of superhydrophobic, robust and self-cleaning surfaces.

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Acknowledgements

We thank the financial support from the National Natural Science Foundation of China (Grant No. 52003108), and the Fundamental Research Funds for the Central Universities JUSRP121027.

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Authors and Affiliations

  1. Jiangsu Engineering Technology Research Centre of Functional Textiles, Jiangnan University, Wuxi, 214122, China

    Xue Yang, Jing Su, Jingjing Xiong & Hongbo Wang

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  1. Xue Yang
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  2. Jing Su
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  3. Jingjing Xiong
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  4. Hongbo Wang
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Correspondence to Jing Su.

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Yang, X., Su, J., Xiong, J. et al. Preparation of Nano-silica with Radial Wrinkle Structures for Self-cleaning and Superhydrophobic Coatings. Fibers Polym 23, 1293–1299 (2022). https://doi.org/10.1007/s12221-022-4580-7

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  • DOI: https://doi.org/10.1007/s12221-022-4580-7

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