The role of Na+ in Al surface corrosion studied by single-shot laser-induced breakdown spectroscopy

2020 ◽  
Vol 501 ◽  
pp. 144238 ◽  
Author(s):  
Xingchen Chen ◽  
Jie Wang ◽  
Xuewei Ju ◽  
Xiangfeng Wang
Keyword(s):  
Laser Induced Breakdown Spectroscopy ◽  
Single Shot ◽  
Surface Corrosion ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

The role of cavity shape on spatially confined laser-induced breakdown spectroscopy

2018 ◽  
Vol 25 (7) ◽  
pp. 073301 ◽  
Author(s):  
Qiuyun Wang ◽  
Anmin Chen ◽  
Dan Zhang ◽  
Ying Wang ◽  
Laizhi Sui ◽  
...  
Keyword(s):  
Laser Induced Breakdown Spectroscopy ◽  
Cavity Shape ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Laser-Induced Breakdown Spectroscopy and Principal Component Analysis for the Classification of Spectra from Gold-Bearing Ores

2019 ◽  
Vol 74 (1) ◽  
pp. 42-54 ◽  
Author(s):  
Daniel Diaz ◽  
Alejandro Molina ◽  
David W. Hahn
Keyword(s):  
Principal Component Analysis ◽  
Limit Of Detection ◽  
Principal Component ◽  
Component Analysis ◽  
Emission Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Single Shot ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy (LIBS) and principal component analysis (PCA) were applied to the classification of LIBS spectra from gold ores prepared as pressed pellets from pulverized bulk samples. For each sample, 5000 single-shot LIBS spectra were obtained. Although the gold concentrations in the samples were as high as 7.7 µg/g, Au emission lines were not observed in most single-shot LIBS spectra, rendering the application of the usual ensemble-averaging approach for spectral processing to be infeasible. Instead, a PCA approach was utilized to analyze the collection of single-shot LIBS spectra. Two spectral ranges of 21 nm and 0.15 nm wide were considered, and LIBS variables (i.e., wavelengths) reduced to no more than three principal components. Single-shot spectra containing Au emission lines (positive spectra) were discriminated by PCA from those without the spectral feature (negative spectra) in a spectral range of less than 1 nm wide around the Au(I) 267.59 nm emission line. Assuming a discrete gold distribution at very low concentration, LIBS sampling of gold particles seemed unlikely; therefore, positive spectra were considered as data outliers. Detection of data outliers was possible using two PCA statistical parameters, i.e., sample residual and Mahalanobis distance. Results from such a classification were compared with a standard database created with positive spectra identified with a filtering algorithm that rejected spectra with an Au intensity below the smallest detectable analytical LIBS signal (i.e., below the LIBS limit of detection). The PCA approach successfully identified 100% of the data outliers when compared with the standard database. False identifications in the multivariate approach were attributed to variations in shot-to-shot intensity and the presence of interfering emission lines.

Some Considerations on the Correlation between Signal and Background in Laser-Induced Breakdown Spectroscopy Using Single-Shot Analysis

1999 ◽  
Vol 71 (23) ◽  
pp. 5447-5449 ◽  
Author(s):  
I. B. Gornushkin ◽  
B. W. Smith ◽  
G. E. Potts ◽  
N. Omenetto ◽  
J. D. Winefordner
Keyword(s):  
Laser Induced Breakdown Spectroscopy ◽  
Single Shot ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown
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