4.7 Article

A highly efficient flame retardant nacre-inspired nanocoating with ultrasensitive fire-warning and self-healing capabilities

期刊

CHEMICAL ENGINEERING JOURNAL
卷 369, 期 -, 页码 8-17

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2019.03.045

关键词

Self-healing; Fire-warning; Flame retardant nanocoating; Graphene oxide; Cellulose

资金

  1. National Natural Science Foundation of China [51773064, 51403067]
  2. Natural Science Foundation of Guangdong Province [2017A030313303]
  3. Pearl River S&T Nova Program of Guangzhou [201710010062]
  4. Fundamental Research Funds for the Central Universities [2018MS04]

向作者/读者索取更多资源

Design and exploitation of flame retardant coatings with sensitive fire-warning response and self-healing capability are urgently needed to decrease the fire risk of combustible materials. Herein, we reported the fabrication of a novel multifunctional flame retardant nanocoating created by using graphene oxide (GO) and functional cellulose (FC) via one step self-assembly. The prepared nacre-like nanocoating endowed many kinds of combustible materials (including polypropylene, polyurethane foam and wood) with exceptional fire safety. All the coated substrates were self-extinguished in the flame retardant tests. More importantly, when being attacked by fire at the very early stage, it triggered the fire-warning in less than three seconds through the dramatic decrease of electrical resistance. Moreover, the nanocoating exhibited outstanding self-healing capability at room temperature. Due to the multiple hydrogen bondings between the ureido pyrimidinone groups on FC, the damaged coating could be healed successfully and almost recovered to its original integrated performance. Our work provides a new and effective route to remarkably improve the fire safety of the combustible materials, exhibiting an enticing prospect for its application in the fields of building, transportation and electrical equipment.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据