Graphene oxide: Synthesis and laser spectroscopy approach

被引：8
作者：
Atta D. [1 ,2 ]
Refaat A. [1 ,3 ]
Ashery A. [4 ]
Ibrahim M. [1 ,3 ]
机构：
[1] Spectroscopy Department, Physics Research Institute, National Research Centre, 33 El-Bohouth St., Dokki, Giza
[2] Nonlinear Optical Properties and Fluorescence Spectroscopy Unit, Physics Research Institute, National Research Centre, 33 El-Bohouth St., Dokki, Giza
[3] Molecular Modeling and Spectroscopy Laboratory, Centre of Excellence for Advanced Science, National Research Centre, 33 El‑Bohouth St, Dokki, Giza
[4] Solid State physics Department, Physics Research Institute, National Research Centre, 33El-BohouthSt, Dokki, Giza
来源：
Optical Materials: X | 2024年 / 22卷
关键词：
FLIM; Graphene oxide; Laser spectroscopy; Polyvinyl alcohol; Raman mapping;
D O I：
10.1016/j.omx.2024.100302
中图分类号：
学科分类号：
摘要：
Nanotechnology research offers advancements in materials and industrial uses such as nano-electronics, medical sciences, fuel, biology, and technological innovation. The most often employed nanomaterial is Graphene oxide (GO), which has been regarded as a dominant progenitor for many specialized industries. The current work aims to establish a new, cost-effective, easy, and straightforward GO synthesis method. Laser spectroscopy and even traditional tools have been utilized for characterization. The prepared GO has been confirmed by XRD and FT-IR spectroscopy. Laser spectroscopy based on confocal microscopes like Raman micro-spectroscopy and fluorescence lifetime imaging microscopy (FLIM) has been used to ensure the synthesis of GO. Also, it could help in the detection of the prepared layer thickness. Raman spectroscopy detects the number of GO layers, which is one on average, while the Raman mapping shows a good distribution of GO on the substrate. Based on excitation with a 445 nm pulsed laser, FLIM shows that mono GO layers cover most of the surface while only a tiny area contains more than a single layer. The novel aspect of this work is the method of preparation and the way of utilizing both FLIM and Raman to detect the number of GO layers. The prepared GO could be used in many applications like solar cells and filtration. © 2024 The Author(s)
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