4.7 Article

Facile Fabrication of Graphene Oxide Nanoribbon-Based Nanocomposite Papers with Different Oxidation Degrees and Morphologies for Tunable Fire-Warning Response

Journal

NANOMATERIALS
Volume 12, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/nano12121963

Keywords

graphene oxide nanoribbon; different oxidation degrees; layered structure; nanocomposite paper; fire-warning response

Funding

  1. Science Foundation and Technology Project of Zhejiang Province [LGG20B040002]
  2. Project for the Science and Technology Program of Hangzhou [20191203B16, 20201203B134, 20201203B136]

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In this study, flame retardant polyethylene glycol (PEG)/ graphene oxide nanoribbons (GONRs)/ montmorillonite (MMT) nanocomposite papers were synthesized and investigated for fire-warning applications. It was found that different oxidation degrees of the GONRs resulted in tunable flame-detection responses, providing an ideal fire-warning signal. This work offers a novel strategy for the design and development of smart fire-warning sensors.
Smart fire-warning sensors based on graphene oxide (GO) nanomaterials, via monitoring their temperature-responsive resistance transition, have attracted considerable interest for several years. However, an important question remains as to whether or not different oxidation degrees of the GO network can produce different impacts on fire-warning responses. In this study, we synthesized three types of GO nanoribbons (GONRs) with different oxidation degrees and morphologies, and thus prepared flame retardant polyethylene glycol (PEG)/GONR/montmorillonite (MMT) nanocomposite papers via a facile, solvent free, and low-temperature evaporation-induced assembly approach. The results showed that the presence of the GONRs in the PEG/MMT promoted the formation of an interconnected nacre-like layered structure, and that appropriate oxidation of the GONRs provided better reinforcing efficiency and lower creep deformation. Furthermore, the different oxidation degrees of the GONRs produced a tunable flame-detection response, and an ideal fire-warning signal in pre-combustion (e.g., 3, 18, and 33 s at 300 degrees C for the three PEG/GONR/MMT nanocomposite papers), superior to the previous GONR-based fire-warning materials. Clearly, this work provides a novel strategy for the design and development of smart fire-warning sensors.

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