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Hierarchical Structured Multifunctional Self‐Cleaning Material with Durable Superhydrophobicity and Photocatalytic Functionalities


Zhang, Xiaotian; Liu, Shanqiu; Salim, Alma; Seeger, Stefan (2019). Hierarchical Structured Multifunctional Self‐Cleaning Material with Durable Superhydrophobicity and Photocatalytic Functionalities. Small, 15(34):1901822.

Abstract

Self-cleaning materials, which are inspired and derived from natural phenomena, have gained significant scientific and commercial interest in the past decades as they are energy- and labor-saving and environmentally friendly. Several technologies are developed to obtain self-cleaning materials. The combination of superhydrophobic and photocatalytic properties enables the efficient removal of solid particles and organic contaminations, which could reduce or damage the superhydrophobicity. However, the fragility of the nanoscale roughness of the superhydrophobic surface limits its practical application. Here, a hierarchical structure approach combining micro- and nanoscale architectures is created to protect the nanoscale surface roughness from mechanical damage. Glass beads of 75 mu m are partially embedded into a low-density polyethylene film. This composite surface is coated with silicone nanofilaments (SNFs) via the droplet-assisted growth and shaping approach, providing the nanoscale surface roughness as well as the support for the photocatalyst with enlarged surface area. TiO2 nanoparticles, which serve as the photocatalyst, are synthesized in situ on SNFs through a hydrothermal reaction. The self-cleaning effect is proved using wettability measurements for various liquids, degradation of organic contamination under UV light, and antibacterial tests. The enhanced mechanical durability of the hierarchical structure of the composite material is verified with an abrasion test.

Abstract

Self-cleaning materials, which are inspired and derived from natural phenomena, have gained significant scientific and commercial interest in the past decades as they are energy- and labor-saving and environmentally friendly. Several technologies are developed to obtain self-cleaning materials. The combination of superhydrophobic and photocatalytic properties enables the efficient removal of solid particles and organic contaminations, which could reduce or damage the superhydrophobicity. However, the fragility of the nanoscale roughness of the superhydrophobic surface limits its practical application. Here, a hierarchical structure approach combining micro- and nanoscale architectures is created to protect the nanoscale surface roughness from mechanical damage. Glass beads of 75 mu m are partially embedded into a low-density polyethylene film. This composite surface is coated with silicone nanofilaments (SNFs) via the droplet-assisted growth and shaping approach, providing the nanoscale surface roughness as well as the support for the photocatalyst with enlarged surface area. TiO2 nanoparticles, which serve as the photocatalyst, are synthesized in situ on SNFs through a hydrothermal reaction. The self-cleaning effect is proved using wettability measurements for various liquids, degradation of organic contamination under UV light, and antibacterial tests. The enhanced mechanical durability of the hierarchical structure of the composite material is verified with an abrasion test.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Chemistry
Dewey Decimal Classification:540 Chemistry
Language:English
Date:1 August 2019
Deposited On:07 Feb 2020 14:28
Last Modified:07 Feb 2020 15:11
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:1613-6810
Additional Information:This is the peer reviewed version of the article which has been published in final form at https://doi.org/10.1002/smll.201901822. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. (http://www.wileyauthors.com/self-archiving)
OA Status:Closed
Publisher DOI:https://doi.org/10.1002/smll.201901822
PubMed ID:31184439

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