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...

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.

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.

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.

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.

EXPRESS: Laser-Induced Breakdown Spectroscopy (LIBS) Combined with Temporal Plasma Analysis of C2 Molecular Emission for Carbon Analysis in Coal

2021 ◽  
pp. 000370282110123
Author(s):  
Hemalaxmi Rajavelu ◽  
Nilesh J Vasa ◽  
Satyanarayanan Seshadri
Keyword(s):  
Elemental Carbon ◽  
Partial Least Square ◽  
Laser Induced Breakdown Spectroscopy ◽  
Nanosecond Laser ◽  
Calibration Model ◽  
Breakdown Spectroscopy ◽  
Persistence Time ◽  
Relative Standard ◽  
Laser Induced Breakdown ◽  
Spectral Intensities

A benchtop Laser-Induced Breakdown Spectroscopy (LIBS) is demonstrated to determine the elemental carbon content present in raw coal used for combustion in power plants. The spectral intensities of molecular CN and C2 emission are measured together with the atomic carbon (C) and other inorganic elements (Si, Fe, Mg, Al, Ca, Na, and K) in the LIBS spectrum of coal. The emission persistence time of C2 molecule emission is measured from the coal plasma generated by a nanosecond laser ablation with a wavelength of 266 nm in the Ar atmosphere. The emission persistence time of molecular C2 emission along with the spectral intensities of major ash elements (Fe, Si, Al, and Ca) and carbon emissions (atomic C, molecular CN, and C2) shows a better relationship with the carbon wt% of different coal samples. The calibration model to measure elemental carbon (wt%) is developed by combining the spectral characteristics (Spectral intensity) and the temporal characteristics (Emission persistence time of C2 molecule emission). The temporal characteristic studies combined with the spectroscopic data in the PLSR (Partial Least Square Regression) model has resulted in an improvement in the root mean square error of validation (RMSEV), and the relative standard deviation (RSD) is reduced from 10.86% to 4.12% and from 11.32% to 6.04%, respectively.

Quantitative analysis of titanium alloys using one-point calibration laser-induced breakdown spectroscopy

2021 ◽  
Vol 127 (3) ◽  
Author(s):  
Ran Hai ◽  
Weina Tong ◽  
Ding Wu ◽  
Zhonglin He ◽  
Harse Sattar ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Titanium Alloys ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

A NOVEL STRATEGY FOR DIRECT ELEMENTAL DETERMINATION USING LASER-INDUCED BREAKDOWN SPECTROSCOPY: FLUENCE CALIBRATION

2021 ◽  
Author(s):  
Raquel C Machado ◽  
Diego Victor Babos ◽  
Daniel Fernandes Andrade ◽  
Edenir Rodrigues Pereira-Filho
Keyword(s):  
Quantitative Analysis ◽  
Matrix Effects ◽  
Calibration Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Elemental Determination ◽  
Laser Induced Breakdown ◽  
Direct Solid Analysis ◽  
Novel Strategy ◽  
Direct Solid

Quantitative analysis requires several efforts to obtain an adequate calibration method to overcome matrix effects employing direct solid analysis by laser-induced breakdown spectroscopy (LIBS). To this end, in this study,...

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