Issue 3, 2019

A comparative model combining carbon atomic and molecular emissions based on partial least squares and support vector regression correction for carbon analysis in coal using LIBS

Abstract

The aim of this study was to analyze the carbon contents in coal samples by laser-induced breakdown spectroscopy (LIBS). The 266 nm laser radiation was utilized for laser ablation and plasma generation under atmospheric conditions. The correlated carbon atomic and molecular emission lines were determined for the variables of the multiple linear regression (MLR) model. Then, the plasma temperatures of different coal samples were compared to characterize the necessity of residue correction from the MLR model. Finally, the partial least squares regression (PLSR) and support vector regression (SVR) were proposed to correct the residue errors of the MLR model. R2, RMSECV, and RMSEP for the MLR model were 0.86%, 3.20%, and 3.41%, whereas these values for the MLR model coupled with the PLSR correction model were 0.99%, 0.13%, and 2.46%, respectively; moreover, these values for the MLR model coupled with the SVR correction model were 0.99%, 0.00039%, and 1.43%. The results showed that the combination of carbon atomic and molecular emissions with both PLSR and SVR correction could improve the measurement accuracy, and the SVR correction helped in achieving better measurement accuracy.

Graphical abstract: A comparative model combining carbon atomic and molecular emissions based on partial least squares and support vector regression correction for carbon analysis in coal using LIBS

Article information

Article type
Paper
Submitted
28 Nov 2018
Accepted
14 Jan 2019
First published
23 Jan 2019

J. Anal. At. Spectrom., 2019,34, 480-488

A comparative model combining carbon atomic and molecular emissions based on partial least squares and support vector regression correction for carbon analysis in coal using LIBS

M. Dong, L. Wei, J. Lu, W. Li, S. Lu, S. Li, C. Liu and J. H. Yoo, J. Anal. At. Spectrom., 2019, 34, 480 DOI: 10.1039/C8JA00414E

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements