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Updated: May 27, 2026

Scalable Syntheses of Graphene Oxide and Reduced Graphene Oxide using Cascade Design Oxidation and Highly Basic Reduction Reactions
Published on: July 3, 2025
Characteristics of Raman spectra for graphene oxide from ab initio simulations
Lu Wang1, Jijun Zhao, Yi-Yang Sun
1Key Laboratory of Materials Modification by Laser, Ion and Electron Beams, Dalian University of Technology, Ministry of Education, Dalian 116024, China.
Simulations reveal how graphene oxide's (GO) Raman spectra differ from graphite. Local atomic structures significantly influence the D and G bands, with epoxy pairs causing a notable G band blueshift.
Area of Science:
- Materials Science
- Computational Chemistry
- Spectroscopy
Background:
- Graphene oxide (GO) is a derivative of graphene with diverse applications.
- Understanding GO's structure-property relationships is crucial for its utilization.
- Raman spectroscopy is a key technique for characterizing carbon materials.
Purpose of the Study:
- To simulate and analyze the Raman spectra of various stable graphene oxide structures.
- To investigate the influence of different oxidation groups on Raman spectral features.
- To compare the spectral properties of GO with those of pristine graphite.
Main Methods:
- Ab initio calculations were employed to simulate Raman spectra.
- Analysis focused on the D and G bands of graphene oxide.
- Various local atomic configurations and oxidation groups (epoxy, hydroxyl, epoxy pairs) were modeled.
Main Results:
- Graphene oxide exhibits a broadened and blueshifted G band compared to graphite.
- New Raman peaks emerge in GO spectra due to oxidation.
- Raman band positions and intensities are sensitive to local atomic configurations.
- Epoxy pairs were found to induce a significant blueshift in the G band.
Conclusions:
- The study provides insights into the vibrational properties of graphene oxide.
- Local atomic structure and oxidation groups play a critical role in determining GO's Raman spectra.
- Ab initio simulations are effective for predicting spectral features of modified graphene.
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