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Quantifying Graphene Oxide Reduction Using Spectroscopic Techniques: A Chemometric Analysis.

Tejaswini Rama Bangalore Ramakrishna1,2, Daniel Patrick Killeen2, Tim David Nalder1,2

  • 11 School of Life and Environmental Sciences, Deakin University, Geelong, VIC, Australia.

Applied Spectroscopy
|September 11, 2018
PubMed
Summary
This summary is machine-generated.

This study presents a rapid, non-destructive method using UV, Raman, and ATR-IR spectroscopy to quantify the chemical reduction of graphene oxide (GO). These techniques offer a simpler alternative for tuning GO surface hydrophobicity.

Keywords:
CRGOChemically reduced graphene oxidesGOPLSRchemometricgraphene oxidepartial least squares regressionsurface hydrophobicity

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Area of Science:

  • Materials Science
  • Surface Chemistry
  • Spectroscopy

Background:

  • Graphene oxide (GO) surface chemistry is tunable via chemical reduction of oxygen-containing groups, often using L-ascorbic acid (L-AA).
  • Controlled tuning of GO surface hydrophobicity is crucial for understanding and managing interactions with hydrophobic surfaces.
  • Existing methods for determining the reduction extent of chemically reduced graphene oxide (CRGO) are often laborious, costly, or lack sensitivity for rapid analysis.

Purpose of the Study:

  • To develop and validate simple, rapid, and non-destructive spectroscopic methods for quantifying the chemical reduction of graphene oxide.
  • To correlate data from UV, Raman, and ATR-IR spectroscopy with a reference method (elemental analysis) for reduction quantification.
  • To establish a reliable approach for routine analysis of CRGO using chemometric modeling.

Main Methods:

  • Utilized ultraviolet (UV), Raman, and attenuated total reflection infrared (ATR-IR) spectroscopy to monitor the chemical reduction of GO.
  • Employed partial least squares regression (PSLR) to model and correlate spectroscopic data against a reference dataset (carbon to oxygen ratio from elemental analysis).
  • ATR-IR spectroscopy was used to identify specific oxygen-containing groups on GO.

Main Results:

  • Spectroscopic methods (UV, Raman, ATR-IR) were successfully correlated with elemental analysis for quantifying GO reduction.
  • High correlation coefficients (r² values up to 0.993) and low root-mean-square errors of cross-validation (RMSECV down to 0.032) were achieved.
  • ATR-IR, combined with chemometrics, proved particularly effective for identifying oxygen groups and enabling routine quantitative analysis.

Conclusions:

  • UV, Raman, and ATR-IR spectroscopy provide simple, rapid, non-destructive, and accurate alternatives for quantifying GO chemical reduction.
  • Chemometric modeling, particularly with ATR-IR data, offers an excellent approach for routine quantitative analysis of CRGO.
  • This method facilitates controlled tuning of GO surface hydrophobicity for various applications.