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.

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...

Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Quantitative Analysis ◽  
Probability Distribution ◽  
Spectral Intensity ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Multiple Measurements

It is significant to improve the repeatability of quantitative analysis of laser-induced breakdown spectroscopy (LIBS) in one-shot measurement where the skill of averaging is not valid because multiple measurements are...

Quantitative Analysis of Laser-Induced Breakdown Spectroscopy of Heavy Metals in Water Based on Support-Vector-Machine Regression

2013 ◽  
Vol 33 (3) ◽  
pp. 0330002 ◽  
Author(s):  
王春龙 Wang Chunlong ◽  
刘建国 Liu Jianguo ◽  
赵南京 Zhao Nanjing ◽  
马明俊 Ma Mingjun ◽  
王寅 Wang Yin ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Support Vector Machine ◽  
Quantitative Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Support Vector Machine Regression ◽  
Breakdown Spectroscopy ◽  
Water Based ◽  
Laser Induced Breakdown

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.

scholarly journals An Improved Sub-Model PLSR Quantitative Analysis Method Based on SVM Classifier for ChemCam Laser-Induced Breakdown Spectroscopy

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 319
Author(s):  
Liang Han ◽  
Feng Liu ◽  
Li Zhang
Keyword(s):  
Quantitative Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Svm Classifier ◽  
Least Squares Regression ◽  
Breakdown Spectroscopy ◽  
Model Method ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy (LIBS) is a powerful tool for qualitative and quantitative analysis. Component analysis is a significant issue for the LIBS instrument onboard the Mars Science Laboratory (MSL) rover Curiosity ChemCam and SuperCam on the Mars 2020 rover. The partial least squares (PLS) sub-model strategy is one of the outstanding multivariate analysis methods for calibration modeling, which is firstly developed by the ChemCam science team. We innovatively used a support vector machine (SVM) classifier to select the corresponding sub-model. Then conventional regression approaches partial least squares regression (PLSR) was utilized as a sub-model to prove that our selecting method was feasible, effective, and well-performed. For eight oxides, i.e., SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, and K2O, the modified SVM-PLSR blended sub-model method was 34.8% to 62.4% lower than the corresponding root mean square error of prediction (RMSEP) of the full model method. In order to avoid that SVM classifiers classifying the spectrum into an incorrect class, an optimized method was proposed which worked well in the modified PLSR blended sub-models.

Laser induced breakdown spectroscopy for quantitative analysis based on low-rank matrix approximations

2017 ◽  
Vol 32 (11) ◽  
pp. 2164-2172 ◽  
Author(s):  
Cancan Yi ◽  
Yong Lv ◽  
Han Xiao ◽  
Shan Tu
Keyword(s):  
Quantitative Analysis ◽  
Convex Optimization ◽  
Low Rank ◽  
Laser Induced Breakdown Spectroscopy ◽  
Matrix Approximation ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Rank Matrix ◽  
Laser Induced Breakdown ◽  
Low Rank Matrix

In this paper, a novel and quantitative LIBS analysis method based on a sparse low-rank matrix approximation via convex optimization is proposed.

Quantitative analysis of coal quality by laser-induced breakdown spectroscopy assisted with different chemometric methods

2020 ◽  
Vol 12 (27) ◽  
pp. 3530-3536
Author(s):  
Youjian Zhang ◽  
Zhang Xiong ◽  
Yiwen Ma ◽  
Chenwei Zhu ◽  
Ran Zhou ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Chemometric Methods ◽  
Coal Quality ◽  
Breakdown Spectroscopy ◽  
Calibration Methods ◽  
Laser Induced Breakdown

LIBS technique assisted with four different chemometric methods was applied to rapid and accurate measurement of coal quality, and the modeling efficiency and prediction accuracy of the four calibration methods were compared and discussed.

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