Quantitative Analysis of Manganese in Low Alloy Steel with Micro-Laser-Induced Breakdown Spectroscopy

Xu Zhao Wang; Zhong Qi Hao; Lian Bo Guo; Xiang You Li; Xiao Yan Zeng; Yong Feng Lu

doi:10.3964/j.issn.1000-0593(2017)04-1254-05

Quantitative Analysis of Manganese in Low Alloy Steel with Micro-Laser-Induced Breakdown Spectroscopy

Xu Zhao Wang, Zhong Qi Hao, Lian Bo Guo, Xiang You Li, Xiao Yan Zeng, Yong Feng Lu

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Manganese in the low alloy steel was analyzed quantitatively using micro-laser-induced breakdown spectroscopy. The spatial resolution of 20 μm and the single pulse limit of detection of 0.10% were obtained. The calibration curve of Mn was established with basic calibration method, with determination coefficient (R²) of 0.97. The average relative error of Mn concentration prediction on 7 samples is 12.91%, and the root-mean-square error of cross-validation (RMSECV) is 0.11%. The R² reaches 0.99 when using internal calibration method, as well as the average relative error of Mn concentration prediction on 7 samples and RMSECV were decreased to 7.25% and 0.07%, respectively. These results show that MicroLIBS technique is an effective approach for material surfaces quantitative microanalysis.

Original language	English (US)
Pages (from-to)	1254-1258
Number of pages	5
Journal	Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
Volume	37
Issue number	4
DOIs	https://doi.org/10.3964/j.issn.1000-0593(2017)04-1254-05
State	Published - Apr 1 2017
Externally published	Yes

Keywords

Laser-induced breakdown spectroscopy
Microscope optics
Mn
Quantitative analysis

ASJC Scopus subject areas

Instrumentation
Spectroscopy

Access to Document

10.3964/j.issn.1000-0593(2017)04-1254-05

Cite this

@article{e63a101f73db4b8d8f695041ab711d25,

title = "Quantitative Analysis of Manganese in Low Alloy Steel with Micro-Laser-Induced Breakdown Spectroscopy",

abstract = "Manganese in the low alloy steel was analyzed quantitatively using micro-laser-induced breakdown spectroscopy. The spatial resolution of 20 μm and the single pulse limit of detection of 0.10% were obtained. The calibration curve of Mn was established with basic calibration method, with determination coefficient (R2) of 0.97. The average relative error of Mn concentration prediction on 7 samples is 12.91%, and the root-mean-square error of cross-validation (RMSECV) is 0.11%. The R2 reaches 0.99 when using internal calibration method, as well as the average relative error of Mn concentration prediction on 7 samples and RMSECV were decreased to 7.25% and 0.07%, respectively. These results show that MicroLIBS technique is an effective approach for material surfaces quantitative microanalysis.",

keywords = "Laser-induced breakdown spectroscopy, Microscope optics, Mn, Quantitative analysis",

author = "Wang, {Xu Zhao} and Hao, {Zhong Qi} and Guo, {Lian Bo} and Li, {Xiang You} and Zeng, {Xiao Yan} and Lu, {Yong Feng}",

year = "2017",

month = apr,

day = "1",

doi = "10.3964/j.issn.1000-0593(2017)04-1254-05",

language = "English (US)",

volume = "37",

pages = "1254--1258",

journal = "Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis",

issn = "1000-0593",

publisher = "Science Press",

number = "4",

}

TY - JOUR

T1 - Quantitative Analysis of Manganese in Low Alloy Steel with Micro-Laser-Induced Breakdown Spectroscopy

AU - Wang, Xu Zhao

AU - Hao, Zhong Qi

AU - Guo, Lian Bo

AU - Li, Xiang You

AU - Zeng, Xiao Yan

AU - Lu, Yong Feng

PY - 2017/4/1

Y1 - 2017/4/1

N2 - Manganese in the low alloy steel was analyzed quantitatively using micro-laser-induced breakdown spectroscopy. The spatial resolution of 20 μm and the single pulse limit of detection of 0.10% were obtained. The calibration curve of Mn was established with basic calibration method, with determination coefficient (R2) of 0.97. The average relative error of Mn concentration prediction on 7 samples is 12.91%, and the root-mean-square error of cross-validation (RMSECV) is 0.11%. The R2 reaches 0.99 when using internal calibration method, as well as the average relative error of Mn concentration prediction on 7 samples and RMSECV were decreased to 7.25% and 0.07%, respectively. These results show that MicroLIBS technique is an effective approach for material surfaces quantitative microanalysis.

AB - Manganese in the low alloy steel was analyzed quantitatively using micro-laser-induced breakdown spectroscopy. The spatial resolution of 20 μm and the single pulse limit of detection of 0.10% were obtained. The calibration curve of Mn was established with basic calibration method, with determination coefficient (R2) of 0.97. The average relative error of Mn concentration prediction on 7 samples is 12.91%, and the root-mean-square error of cross-validation (RMSECV) is 0.11%. The R2 reaches 0.99 when using internal calibration method, as well as the average relative error of Mn concentration prediction on 7 samples and RMSECV were decreased to 7.25% and 0.07%, respectively. These results show that MicroLIBS technique is an effective approach for material surfaces quantitative microanalysis.

KW - Laser-induced breakdown spectroscopy

KW - Microscope optics

KW - Mn

KW - Quantitative analysis

UR - http://www.scopus.com/inward/record.url?scp=85021759196&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85021759196&partnerID=8YFLogxK

U2 - 10.3964/j.issn.1000-0593(2017)04-1254-05

DO - 10.3964/j.issn.1000-0593(2017)04-1254-05

M3 - Article

AN - SCOPUS:85021759196

VL - 37

SP - 1254

EP - 1258

JO - Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

JF - Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

SN - 1000-0593

IS - 4

ER -

Quantitative Analysis of Manganese in Low Alloy Steel with Micro-Laser-Induced Breakdown Spectroscopy

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this