|Changing the Microstructural and Chemical Properties of Graphene Oxide Through a Chemical Route
|Tipo di pubblicazione
|Articolo su Rivista peer-reviewed
|Anno di Pubblicazione
|Protopapa, Maria Lucia, Burresi Emiliano, Palmisano Martino, Pesce Emanuela, Latterini L., Taurisano N., Quaglia G., Mazzaro R., and Morandi V.
|2-structure, Alkaline treatment, alkalinity, Chemical routes, Controlled oxidations, Fourier transform infrared spectroscopy, FT-IR spectroscopy, Graphene, Graphene oxides, Graphite powder, KOH concentration, Manganese compounds, Micro-structural, Oxygen, Photoluminescence, Potassium hydroxide, Tunables
The aim of this work is to investigate the possibility of engineering desired molecular sp2 structures in graphene oxide, via controlled oxidation of graphite powder, in order to achieve tunable chemical and microstructural properties useful for optoelectronics or sensing applications. Specifically, GO powder is obtained by a modified Hummers method, by using different concentrations of potassium permanganate (KMnO4) in order to change the number of oxygen functionalities in the graphitic structure. Then, a successive alkaline treatment is performed by increasing the KOH concentration. The alkaline treatment induces a noticeable variation of the GO microstructural and chemical properties, which is accompanied by a strong enhancement of photoluminecence. PL and PLE measurements reveal that the configuration of electronic energy states changes as a function of the KMnO4 and KOH concentration, by introducing further electronic n levels available for n→π* transitions. In particular, the number of sp2 small domains embedded among oxygen–sp3 domains, increases under the KOH treatment, due to the addition of OH groups. Most of these sp2 domains are lifted-off from GO and thrown away in the surnatant giving it high blue photoluminescence excited at λexc ∼ 319 nm. The employ of combined spectroscopy techniques allows a deep investigation of the microstructural and chemical changes induced by chemical treatments, opening the way to the fine tuning of GO functional properties. © The Author(s) 2022.
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