An Electrochemical Route for the Synthesis of Low Oxygen Containing Reduced Graphene Oxide through 2B Grade Graphite.

  • Published In: NANO (1793-2920), 2023, v. 18, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Singh, Pankaj Kumar; Singh, Pradeep Kumar; Sharma, Kamal 3 of 3

Abstract

The requirement for restoring graphene's electrical and thermal properties necessitates the implementation of reduction processes that remove oxygen atoms from the surface of graphene oxide sheets. Nevertheless, has been reported that the synthesis of graphene with a minimal oxygen content remains an obstacle in the field of graphene synthesis. The partial restoration of the initial graphene characteristics brought on by the recombination of carbon–carbon double bonds is primarily constrained by the existence of leftover oxygen atoms and lattice flaws. However, the absence of polar dioxide-based groups of function makes it difficult for the substance to disperse. Oxygen-containing functional groups also serve as reaction sites to bond active molecules to reduce graphene sheets. The literature describes many chemical methods to reduce graphene oxide for these reasons. It's crucial to choose a chemical method that allows a thin modulation of residual oxygen content to tune the end product's properties. This research demonstrates a synthesis mechanism for the low oxygen-containing thermally reduced graphene oxide (T-R-GO) by employing an electrochemical technique, which is then followed by thermal reduction. An environment-friendly, eco-friendly, simpler, and scalable electrochemical approach was initially used to synthesize graphite oxide. A steady power source of 24 V DC (direct current) has been applied while the exfoliation process is being carried out. It has been noticed that there is a potential difference of 1 V during the process of exfoliation. This difference is because the electrochemical cell creates a resistance, which results in a potential difference. Within the muffle furnace, the preoxidized graphite was subjected to a thermal reduction process at a temperature of 900 ∘ C. The microstructure, elemental composition, as well as C/O ratio (ratio of carbon and oxygen), was analyzed using field emission scanning electron microscopy (FESEM), transmission electron microscopy as well as energy dispersive X-ray (EDX). According to the results of EDX, reduction temperature serves a crucial role in the elimination of oxygen functionalities or their derived compounds. The surface topography and thermal stability analysis were analyzed using atomic force microscopy (AFM) and thermogravimetric analysis (TGA). The crystallinity and disorder in microstructure were investigated using X-ray powder diffraction (XRD) and Raman spectroscopy analysis. X-Ray data show that high-temperature annealing restored the RGO structure of the crystal. The interplanar distance is 3.824 Å and the diffraction peak is 26.42 ∘ . Raman bands measured the defect's I D /I G ratio (intensity ratio) as 0.423. The Raman study shows that the flaws are minimal. This research offers a massive, economical, and environmentally friendly method for synthesizing graphene for use in industry. In the present work, a low-cost mechanism for the synthesis of low oxygen containing thermally reduced graphene oxide (T-R-GO) was demonstrated. Thereafter thermal reduction of the crystallographic structure has been restored. The electrolytic solution, applied potential, degree of oxidation, and reduction temperature plays a very crucial role in the percentage of oxygen, surface roughness height and degree of defect of the T-R-GO for the future applications. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:NANO (1793-2920). 2023/07, Vol. 18, Issue 8, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2023
  • ISSN:1793-2920
  • DOI:10.1142/S179329202350039X
  • Accession Number:172299947
  • Copyright Statement:Copyright of NANO (1793-2920) is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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