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

2 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

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

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Quantitative Analysis of Manganese in Low Alloy Steel with Micro-Laser-Induced Breakdown Spectroscopy. / Wang, Xu Zhao; Hao, Zhong Qi; Guo, Lian Bo; Li, Xiang You; Zeng, Xiao Yan; Lu, Yong Feng.

In: Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis, Vol. 37, No. 4, 01.04.2017, p. 1254-1258.

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

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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}",

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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

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ER -

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

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Keywords

ASJC Scopus subject areas

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