There has been increasing interest to synthesize porous graphene structures for various applications, viz. super-capacitors, photovoltaic cells and sensors due to their unique structure with interconnected network, high surface area, excellent electrical conductivity and good thermal stability. Herein, a facile and highly effective scalable method has been developed to synthesize porous graphene network (PGN) from reduced graphene oxide. PNG was synthesized by a facile process that combines the synthesis of graphene oxide (GO) by modified Hummers method and optimization of reduction temperature in ambient conditions. The morphology of the prepared samples was investigated by scanning electron microscopy. Structural transformation during reduction of GO under ambient conditions was investigated using X-ray diffraction, Fourier transform infrared spectroscopy and Raman spectroscopy. In comparison to already existing methods, these results demonstrate a very convenient and general protocol to synthesize the PGN from GO for various applications.

合成用于各种应用的多孔石墨烯结构的兴趣日益增加，即。超级电容器，光伏电池和传感器，因为它们具有相互连接的网络的独特结构，高表面积，出色的导电性和良好的热稳定性。在此，已经开发了一种简便且高效的可缩放方法，以由还原的氧化石墨烯合成多孔石墨烯网络（PGN）。PNG是通过简便的方法合成的，该方法结合了通过改进的Hummers方法合成氧化石墨烯（GO）和优化环境温度下的还原温度。通过扫描电子显微镜研究制备的样品的形态。使用X射线衍射研究了在环境条件下GO还原过程中的结构转变，傅立叶变换红外光谱和拉曼光谱。与现有方法相比，这些结果证明了一种非常方便且通用的协议，可以从GO合成PGN以用于各种应用。