Title Structural control and electrical behavior of thermally reduced graphene oxide samples assisted with malonic acid and phosphorus pentoxide /
Authors Aukštakojytė, Rūta ; Gaidukevič, Justina ; Niaura, Gediminas ; Skapas, Martynas ; Bukauskas, Virginijus ; Barkauskas, Jurgis
DOI 10.3390/inorganics10090142
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Is Part of Inorganics.. Basel : MDPI AG. 2022, vol. 10, iss. 9, art. no. 142, p. 1-16.. eISSN 2304-6740
Keywords [eng] thermally reduced graphene oxide ; carbon suboxide ; phosphorus doped reduced graphene oxide ; structural analysis ; electrical conductivity
Abstract [eng] We present a detailed study of the structural and electrical changes occurring in two graphene oxide (GO) samples during thermal reduction in the presence of malonic acid (MA) (5 and 10 wt%) and P2O5 additives. The morphology and de-oxidation efficiency of reduced GO (rGO) samples are characterized by Fourier transform infrared, X-ray photoelectron, energy-dispersive X-ray, Raman spectroscopies, transmission electron and scanning electron microscopies, X-ray diffraction (XRD), and electrical conductivity measurements. Results show that MA and P2O5 additives are responsible for the recovery of π-conjugation in rGO as the XRD pattern presents peaks corresponding to (002) graphitic-lattice planes, suggesting the formation of the sp2-like carbon structure. Raman spectra show disorders in graphene sheets. Elemental analysis shows that the proposed reduction method in the presence of additives also suggests the simultaneous insertion of phosphorus with a relatively high content (0.3–2.3 at%) in rGO. Electrical conductivity measurements show that higher amounts of additives used in the GO reduction more effectively improve electron mobility in rGO samples, as they possess the highest electrical conductivity. Moreover, the relatively high conductivity at low bulk density indicates that prepared rGO samples could be applied as metal-free and non-expensive carbon-based electrodes for supercapacitors and (bio)sensors.
Published Basel : MDPI AG
Type Journal article
Language English
Publication date 2022
CC license CC license description