4.7 Article

Temperature-responsive resistance sensitivity controlled by L-ascorbic acid and silane co-functionalization in flame-retardant GO network for efficient fire early-warning response

期刊

CHEMICAL ENGINEERING JOURNAL
卷 386, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2019.123894

关键词

Graphene oxide network; Co-functionalization; Flame resistance; Thermal reduction behaviour; Fire early warning sensor

资金

  1. Natural Science Foundation of China [51973047]
  2. Natural Science Foundation of Zhejiang Province [LY18E030005, LY15E030015]
  3. Project for the Science and Technology Program of Hangzhou [20191203B16, 20180533B01]
  4. Fluor-Silicon Fine Chemical and Material Manufacturing Collaborative Innovation Centre Open Foundation [FSi2018B005]

向作者/读者索取更多资源

Frequent fire disasters have not only caused massive casualties, irreparable property and priceless artefacts loss, but also create severe environmental damage. Therefore, it is imperative, but also challenging, to obtain excellent fire resistance and efficient early-warning alarm response in precombustion of combustible materials. In this work, a green flame-retardant graphene oxide (GO) based paper/coating is designed and constructed via using a facile 3-methacryloxypropyltrimethoxysilane and L-ascorbic acid (LAA) co-functionalization strategy. The optimized co-modified GO network shows good structure stability and improves the flame retardancy of combustible materials. Further, such GO network can provide an ultrafast flame detection signal of only similar to 1 s and ideal fire early warning responses (e.g. a low responsive temperature of similar to 120 degrees C and an extremely rapid responsive time of similar to 7 s at 300 degrees C) in precombustion which are among the best performances of the state-of-the-art fire alarm sensors. Moreover, the transformation of silane molecules into a compact protective layer on sheets and the resistance transition of insulating GO network into conductive reduced GO path promoted by LAA molecules are clarified. This work provides a novel strategy and paradigm to achieving excellent flame resistance and ideal fire early warning response of GO network for fire safety and prevention applications.

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