A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)-Reference-Cited by-同舟云学术

A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

Published:2014 Issue:12 Volume:29 Page:2323-2329
ISSN:0267-9477
Container-title:J. Anal. At. Spectrom.
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Zhang Tianlong¹²³⁴,Liang Long¹²³⁴,Wang Kang⁵⁶⁷,Tang Hongsheng¹²³⁴,Yang Xiaofeng⁸³⁷,Duan Yixiang⁹¹⁰¹¹¹²,Li Hua¹²³⁴

Affiliation:

1. Institute of Analytical Science

2. School of Chemistry & Material Science

3. Northwest University

4. Xi'an 710069, P. R. China

5. College of Science

6. Chang'an University

7. Xi'an, P. R. China

8. College of Chemistry & Materials Science

9. Research Center of Analytical Instrumentation

10. College of Chemistry

11. Sichuan University

12. Chengdu, P. R. China

Abstract

LIBS combined with random forest regression (RFR) was proposed for the quantitative analysis of multiple elements in fourteen steel samples.

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2014/JA/C4JA00217B

Reference43 articles.

1. Simultaneous first order derivative spectrophotometric determination of vanadium and zirconium in alloy steels and minerals

2. Determination of Steel Cleanliness in Ultra Low Carbon Steel by Pulse Discrimination Analysis-Optical Emission Spectroscopy Technique

3. Identification of steel by X-ray fluorescence analysis with a pyroelectric X-ray generator

4. Study of heterogeneities in steels and determination of soluble and total aluminium and titanium concentration by laser ablation inductively coupled plasma mass spectrometry

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