Qiu Wei-Wei, Yu Zhi-Ran, Zhou Ling-Yun, Lv Ling-Yu, Chen Heng, Tang Long-Cheng
School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Key Laboratory of Organosilicon Chemistry and Material Technology of MoE, College of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.
Nanomaterials (Basel). 2022 Jun 8;12(12):1963. doi: 10.3390/nano12121963.
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 °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.
基于氧化石墨烯（GO）纳米材料的智能火灾预警传感器，通过监测其温度响应电阻转变，多年来一直备受关注。然而，一个重要的问题仍然存在，即GO网络的不同氧化程度是否会对火灾预警响应产生不同的影响。在本研究中，我们合成了三种具有不同氧化程度和形态的GO纳米带（GONR），并通过一种简便、无溶剂且低温蒸发诱导组装的方法制备了阻燃聚乙二醇（PEG）/GONR/蒙脱石（MMT）纳米复合纸。结果表明，PEG/MMT中GONR的存在促进了相互连接的珍珠层状结构的形成，并且GONR的适当氧化提供了更好的增强效率和更低的蠕变变形。此外，GONR的不同氧化程度产生了可调的火焰检测响应，以及在预燃烧阶段的理想火灾预警信号（例如，三种PEG/GONR/MMT纳米复合纸在300°C时分别为3、18和33秒），优于先前基于GONR的火灾预警材料。显然，这项工作为智能火灾预警传感器的设计和开发提供了一种新策略。
