Background removal in soil analysis using laserinduced breakdown spectroscopy combined with standard addition method

R. X. Yi; L. B. Guo; X. H. Zou; J. M. Li; Z. Q. Hao; X. Y. Yang; X. Y. Li; X. Y. Zeng; Y. F. Lu

doi:10.1364/OE.24.002607

Background removal in soil analysis using laserinduced breakdown spectroscopy combined with standard addition method

R. X. Yi, L. B. Guo, X. H. Zou, J. M. Li, Z. Q. Hao, X. Y. Yang, X. Y. Li, X. Y. Zeng, Y. F. Lu

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

60 Scopus citations

Abstract

The matrix effect of powder samples, especially for soil samples, is significant in laser-induced breakdown spectroscopy (LIBS), which affects the prediction accuracy of the element concentration. In order to reduce this effect of the soil samples in LIBS, the standard addition method (SAM) based on background removal by wavelet transform algorithm was investigated in this work. Five different kinds of certified reference soil samples (lead (Pb) concentrations were 110, 283, 552, 675, and 1141 ppm, respectively) were used to examine the accuracy of this method. The root mean square error of prediction (RMSEP) was more than 303 ppm by using the conventional calibration method. After adoption of SAM with background removal by wavelet transform algorithm, the RMSEP was reduced to 25.7 ppm. Therefore, the accuracy of the Pb element was improved significantly. The mechanism of background removal by wavelet transform algorithm based on SAM is discussed. Further study demonstrated that this method can also improve the predicted accuracy of the Cd element.

Original language	English (US)
Pages (from-to)	2607-2618
Number of pages	12
Journal	Optics Express
Volume	24
Issue number	3
DOIs	https://doi.org/10.1364/OE.24.002607
State	Published - Feb 8 2016
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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@article{cff4732d5921426fb4937f7d8d40b023,

title = "Background removal in soil analysis using laserinduced breakdown spectroscopy combined with standard addition method",

abstract = "The matrix effect of powder samples, especially for soil samples, is significant in laser-induced breakdown spectroscopy (LIBS), which affects the prediction accuracy of the element concentration. In order to reduce this effect of the soil samples in LIBS, the standard addition method (SAM) based on background removal by wavelet transform algorithm was investigated in this work. Five different kinds of certified reference soil samples (lead (Pb) concentrations were 110, 283, 552, 675, and 1141 ppm, respectively) were used to examine the accuracy of this method. The root mean square error of prediction (RMSEP) was more than 303 ppm by using the conventional calibration method. After adoption of SAM with background removal by wavelet transform algorithm, the RMSEP was reduced to 25.7 ppm. Therefore, the accuracy of the Pb element was improved significantly. The mechanism of background removal by wavelet transform algorithm based on SAM is discussed. Further study demonstrated that this method can also improve the predicted accuracy of the Cd element.",

author = "Yi, {R. X.} and Guo, {L. B.} and Zou, {X. H.} and Li, {J. M.} and Hao, {Z. Q.} and Yang, {X. Y.} and Li, {X. Y.} and Zeng, {X. Y.} and Lu, {Y. F.}",

note = "Funding Information: This research has been financially supported by the National Special Fund for the Development of Major Research Equipments and Instruments (No. 2011YQ160017), by the National Natural Science Foundation of China (No.61575073 and 51429501), by Natural Science Foundation of Hubei province (No. 2015CFB298). Publisher Copyright: {\textcopyright} 2016 Optical Society of America.",

year = "2016",

month = feb,

day = "8",

doi = "10.1364/OE.24.002607",

language = "English (US)",

volume = "24",

pages = "2607--2618",

journal = "Optics Express",

issn = "1094-4087",

publisher = "The Optical Society",

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TY - JOUR

T1 - Background removal in soil analysis using laserinduced breakdown spectroscopy combined with standard addition method

AU - Yi, R. X.

AU - Guo, L. B.

AU - Zou, X. H.

AU - Li, J. M.

AU - Hao, Z. Q.

AU - Yang, X. Y.

AU - Li, X. Y.

AU - Zeng, X. Y.

AU - Lu, Y. F.

N1 - Funding Information: This research has been financially supported by the National Special Fund for the Development of Major Research Equipments and Instruments (No. 2011YQ160017), by the National Natural Science Foundation of China (No.61575073 and 51429501), by Natural Science Foundation of Hubei province (No. 2015CFB298). Publisher Copyright: © 2016 Optical Society of America.

PY - 2016/2/8

Y1 - 2016/2/8

N2 - The matrix effect of powder samples, especially for soil samples, is significant in laser-induced breakdown spectroscopy (LIBS), which affects the prediction accuracy of the element concentration. In order to reduce this effect of the soil samples in LIBS, the standard addition method (SAM) based on background removal by wavelet transform algorithm was investigated in this work. Five different kinds of certified reference soil samples (lead (Pb) concentrations were 110, 283, 552, 675, and 1141 ppm, respectively) were used to examine the accuracy of this method. The root mean square error of prediction (RMSEP) was more than 303 ppm by using the conventional calibration method. After adoption of SAM with background removal by wavelet transform algorithm, the RMSEP was reduced to 25.7 ppm. Therefore, the accuracy of the Pb element was improved significantly. The mechanism of background removal by wavelet transform algorithm based on SAM is discussed. Further study demonstrated that this method can also improve the predicted accuracy of the Cd element.

AB - The matrix effect of powder samples, especially for soil samples, is significant in laser-induced breakdown spectroscopy (LIBS), which affects the prediction accuracy of the element concentration. In order to reduce this effect of the soil samples in LIBS, the standard addition method (SAM) based on background removal by wavelet transform algorithm was investigated in this work. Five different kinds of certified reference soil samples (lead (Pb) concentrations were 110, 283, 552, 675, and 1141 ppm, respectively) were used to examine the accuracy of this method. The root mean square error of prediction (RMSEP) was more than 303 ppm by using the conventional calibration method. After adoption of SAM with background removal by wavelet transform algorithm, the RMSEP was reduced to 25.7 ppm. Therefore, the accuracy of the Pb element was improved significantly. The mechanism of background removal by wavelet transform algorithm based on SAM is discussed. Further study demonstrated that this method can also improve the predicted accuracy of the Cd element.

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Background removal in soil analysis using laserinduced breakdown spectroscopy combined with standard addition method

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