Quantitative Analysis of LIBS Reduces the Matrix Effect Methods

2013 ◽  
Vol 313-314 ◽  
pp. 579-582
Author(s):  
You Liang Yang ◽  
Jun Xiang Li ◽  
Fan Wei Meng ◽  
Cui Hong Ma
Keyword(s):  
Quantitative Analysis ◽  
Matrix Effect ◽  
Correction Method ◽  
Analysis Method ◽  
Network Reduction ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
The Matrix ◽  
Quantitative Analysis Method ◽  
The Impact

This paper introduced the principle about the technology of Laser-induced Breakdown Spectroscopy (LIBS) of quantitative analysis. It was reviewed about the quantitative analysis of LIBS reduced method of matrix. The reason of cause matrix effect was not clear, but the matrix effect on the LIBS quantitative analysis of the impact can not be ignored. The LIBS quantitative analysis method was divided into two categories: one was based on the calibration curve with the mathematical matrix correction method; the other was combined with neural network reduction method of matrix. This paper was introduced for the two categories of methods, and gives an example to explain.

LIBS quantitative analysis method for samples with changing temperature via functional data analysis

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Laser Induced Breakdown Spectroscopy ◽  
Calibration Model ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method

The quantitative analysis accuracy of laser-induced breakdown spectroscopy (LIBS) will decrease if the temperatures of testing samples are different from the temperature under which the calibration model is established. For...

Investigation of the Matrix Effect on the Accuracy of Quantitative Analysis of Trace Metals in Liquids Using Laser-Induced Breakdown Spectroscopy with Solid Substrates

2016 ◽  
Vol 70 (12) ◽  
pp. 2016-2024 ◽  
Author(s):  
Junshan Xiu ◽  
Lili Dong ◽  
Hua Qin ◽  
Yunyan Liu ◽  
Jin Yu
Keyword(s):  
Quantitative Analysis ◽  
Trace Metals ◽  
Matrix Effect ◽  
Solid Substrate ◽  
Laser Induced Breakdown Spectroscopy ◽  
Paper Substrate ◽  
Viscous Liquids ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
The Matrix

The detection limit of trace metals in liquids has been improved greatly by laser-induced breakdown spectroscopy (LIBS) using solid substrate. A paper substrate and a metallic substrate were used as a solid substrate for the detection of trace metals in aqueous solutions and viscous liquids (lubricating oils) respectively. The matrix effect on quantitative analysis of trace metals in two types of liquids was investigated. For trace metals in aqueous solutions using paper substrate, the calibration curves established for pure solutions and mixed solutions samples presented large variation on both the slope and the intercept for the Cu, Cd, and Cr. The matrix effects among the different elements in mixed solutions were observed. However, good agreement was obtained between the measured and known values in real wastewater. For trace metals in lubricating oils, the matrix effect between the different oils is relatively small and reasonably negligible under the conditions of our experiment. A universal calibration curve can be established for trace metals in different types of oils. The two approaches are verified that it is possible to develop a feasible and sensitive method with accuracy results for rapid detection of trace metals in industrial wastewater and viscous liquids by laser-induced breakdown spectroscopy.

A Calibration-Free Laser-Induced Breakdown Spectroscopy (CF-LIBS) Quantitative Analysis Method Based on the Auto-Selection of an Internal Reference Line and Optimized Estimation of Plasma Temperature

2017 ◽  
Vol 72 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Jianhong Yang ◽  
Xiaomeng Li ◽  
Jinwu Xu ◽  
Xianghong Ma
Keyword(s):  
Quantitative Analysis ◽  
Plasma Temperature ◽  
Reference Line ◽  
Analysis Method ◽  
Internal Reference ◽  
Absorption Effect ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method ◽  
Selection Of

The quantitative analysis accuracy of calibration-free laser-induced breakdown spectroscopy (CF-LIBS) is severely affected by the self-absorption effect and estimation of plasma temperature. Herein, a CF-LIBS quantitative analysis method based on the auto-selection of internal reference line and the optimized estimation of plasma temperature is proposed. The internal reference line of each species is automatically selected from analytical lines by a programmable procedure through easily accessible parameters. Furthermore, the self-absorption effect of the internal reference line is considered during the correction procedure. To improve the analysis accuracy of CF-LIBS, the particle swarm optimization (PSO) algorithm is introduced to estimate the plasma temperature based on the calculation results from the Boltzmann plot. Thereafter, the species concentrations of a sample can be calculated according to the classical CF-LIBS method. A total of 15 certified alloy steel standard samples of known compositions and elemental weight percentages were used in the experiment. Using the proposed method, the average relative errors of Cr, Ni, and Fe calculated concentrations were 4.40%, 6.81%, and 2.29%, respectively. The quantitative results demonstrated an improvement compared with the classical CF-LIBS method and the promising potential of in situ and real-time application.

A laser induced breakdown spectroscopy quantitative analysis method based on the robust least squares support vector machine regression model

2015 ◽  
Vol 30 (7) ◽  
pp. 1541-1551 ◽  
Author(s):  
Jianhong Yang ◽  
Cancan Yi ◽  
Jinwu Xu ◽  
Xianghong Ma
Keyword(s):  
Quantitative Analysis ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method ◽  
Robust Least Squares ◽  
Multiple Measurements

Data fluctuation in multiple measurements of Laser Induced Breakdown Spectroscopy (LIBS) greatly affects the accuracy of quantitative analysis. Our proposed method achieved better prediction accuracy and modeling robustness.

Comparison of the matrix effect in laser induced breakdown spectroscopy analysis of coal particle flow and coal pellets

2021 ◽  
Author(s):  
Ziyu Yu ◽  
Shunchun Yao ◽  
Yuan Jiang ◽  
Weize Chen ◽  
Shuixiu Xu ◽  
...  
Keyword(s):  
Matrix Effect ◽  
Coal Particle ◽  
Particle Flow ◽  
Laser Induced Breakdown Spectroscopy ◽  
Spectroscopy Analysis ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
The Matrix

Laser-induced breakdown spectroscopy analysis of coal particle flow presents milder matrix effect compared with coal pellet.

Quantitative analysis of phosphorus in steel using laser-induced breakdown spectroscopy in air atmosphere

2014 ◽  
Vol 29 (8) ◽  
pp. 1432-1437 ◽  
Author(s):  
Chang Mao Li ◽  
Zhi Min Zou ◽  
Xin Yan Yang ◽  
Zhong Qi Hao ◽  
Lian Bo Guo ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Strong Interference ◽  
Air Atmosphere ◽  
Laser Induced Breakdown ◽  
The Matrix

The quantitative analysis of phosphorus in iron/steel in air atmosphere is considered a challenge for LIBS due to strong interference from the matrix.

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