Applications of Raman spectroscopy in graphene-related materials and the development of parameterized PCA for large-scale data analysis

João Luiz Elias Campos, Hudson Miranda, Cassiano Rabelo, Emil Sandoz-Rosado, Sugandha Pandey, Juha Riikonen, Abraham G. Cano-Marquez, Ado Jorio*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)

Abstract

A methodology for the structural analysis of graphene-related materials using parameterized principal component analysis (PCA), ideal for large-scale data treatment, is introduced. First, we review different aspects of Raman spectroscopy for structural and functional characterization of sp2-bonded carbon materials, which are important for understanding the problem. The parameterized PCA is then introduced and applied to 2 different scenarios: to identify different sp2 carbon structures and to identify graphene samples with different numbers of layers. Automating these Raman spectroscopy analysis techniques is desired for large-scale industrial applications.

Original languageEnglish
Number of pages12
JournalJournal of Raman Spectroscopy
Volume49
Issue number1
Early online date2017
DOIs
Publication statusPublished - 19 Jan 2018
MoE publication typeA1 Journal article-refereed

Keywords

  • Applications
  • Carbon nanomaterial
  • Graphene
  • Large-data analysis
  • Principal component analysis

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