Suppr超能文献

一种新型的用于超疏液聚氨酯涂层的双层方法。

A novel dual-layer approach towards omniphobic polyurethane coatings.

作者信息

Khan Fahad, Khan Ajmir, Tuhin Mohammad O, Rabnawaz Muhammad, Li Zhao, Naveed Muhammad

机构信息

School of Packaging, Michigan State University 448 Wilson Road, East Lansing Michigan 48824-1223 USA

Department of Chemistry, Hazara University Mansehra Khyber Pakhtunkhwa 21300 Pakistan.

出版信息

RSC Adv. 2019 Aug 27;9(46):26703-26711. doi: 10.1039/c9ra04923a. eCollection 2019 Aug 23.

Abstract

Omniphobic surfaces have a plethora of applications ranging from household paints to sensors. The predominant practice of fabricating those materials/surfaces is to use fluorinated materials which are environmentally harmful, and thus have limited practical applications. In this study, we report a novel dual-layer approach of fabrication towards omniphobic surfaces using polyurethane (PU) as a matrix and polydimethylsiloxane (PDMS) as a self-cleaning ingredient. This approach was also used to produce omniphobic PU nanocomposites, where nanofillers (, nanoclay, cellulose nanocrystals (CNCs) and graphene oxide (GO)) were incorporated. The resultant coatings were investigated for their performance, such as optical clarity, durability, and self-cleaning properties. In addition, scanning electron microscopy (SEM) was used for microstructural analysis of the obtained coatings. The facile nature of fabrication and the use of PDMS, an environmentally benign material relative to fluorinated chemicals, thus offer an eco-friendly sustainable scheme for practical applications aimed at omniphobic purposes.

摘要

超疏水表面有大量的应用,从家用涂料到传感器。制造这些材料/表面的主要方法是使用对环境有害的含氟材料,因此实际应用有限。在本研究中,我们报告了一种新颖的双层方法来制造超疏水表面,使用聚氨酯(PU)作为基质,聚二甲基硅氧烷(PDMS)作为自清洁成分。该方法还用于制备超疏水PU纳米复合材料,其中加入了纳米填料(、纳米粘土、纤维素纳米晶体(CNC)和氧化石墨烯(GO))。研究了所得涂层的性能,如光学透明度、耐久性和自清洁性能。此外,使用扫描电子显微镜(SEM)对所得涂层进行微观结构分析。制造方法简便,且使用了相对于含氟化学品而言环境友好的PDMS,因此为旨在实现超疏水目的的实际应用提供了一种生态友好的可持续方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b45e/9070450/727df4a9b036/c9ra04923a-s1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验