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

作者：Elias Campos Joao Luiz; Miranda Hudson; Rabelo Cassiano; Sandoz Rosado Emil; Pandey Sugandha; Riikonen Juha; Cano Marquez Abraham G; Jorio Ado^*

来源：Journal of Raman Spectroscopy, 2018, 49(1): 54-65.

DOI：10.1002/jrs.5225

• graphene
• principal component analysis
• applications
• large-data analysis
• carbon nanomaterial

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 sp(2)-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 sp(2) 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.

• 出版日期2018-1