Classification of sedimentary and igneous rocks by laser induced breakdown spectroscopy and nanoparticle-enhanced laser induced breakdown spectroscopy combined with principal component analysis and graph theory

In this work, results are presented on the application of standard LIBS and Nanoparticle-Enhanced LIBS (NELIBS) to the classification of rocks (igneous and sedimentary). The classification of the spectra obtained with the two methods was performed using Principal Component Analysis (PCA) and Graph T...

Full description

Saved in:
Bibliographic Details
Published in:Spectrochimica acta. Part B: Atomic spectroscopy 2019-08, Vol.158, p.105622, Article 105622
Main Authors: El-Saeid, R.H., Abdel-Salam, Z., Pagnotta, S., Palleschi, V., Harith, M.A.
Format: Article
Language:English
Subjects:
Analysis
Analytical methods
Classification
Classification (sedimentation)
Graph theory
Igneous rocks
Laser induced breakdown spectroscopy
Lasers
LIBS
Nanoparticles
NELIBS
PCA
Principal components analysis
Rocks
Spectra
Spectroscopy
Spectrum analysis
Theories
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work, results are presented on the application of standard LIBS and Nanoparticle-Enhanced LIBS (NELIBS) to the classification of rocks (igneous and sedimentary). The classification of the spectra obtained with the two methods was performed using Principal Component Analysis (PCA) and Graph Theory method. The results obtained confirmed the advantages of the LIBS technique in geological applications, showing that excellent classification of the rocks analyzed (more than 99% of the spectra correctly classified) can be obtained using standard LIBS coupled to Graph Theory analysis, while NELIBS spectra, analyzed with the same technique, provide acceptable results, but with 10% of the spectra not classified. These findings are particularly interesting given the application of the LIBS technique in investigating natural samples having porous and/or rough surfaces. [Display omitted] •A number of sedimentary and igneous rock samples were analyzed via LIBS and NELIBS.•The NELBS spectral lines intensity showed pronounced improvement compared to LIBS.•Surface hardness of the samples was compared from the spectroscopic data.•PCA and the graph theory techniques were used to characterize the rock samples.•LIBS with graph theory revealed better classification results than NELIBS for rocks.
ISSN:0584-8547
1873-3565
DOI:10.1016/j.sab.2019.05.011