scholarly journals Enhancing the analytical performance of laser-induced breakdown spectroscopy

1998 ◽  
Author(s):  
D.A. Cremers ◽  
R.C. Chinni ◽  
A.E. Pichahchy ◽  
H.K. Thornquist
Keyword(s):  
Analytical Performance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Study on parameters influencing analytical performance of laser-induced breakdown spectroscopy

2012 ◽  
Vol 7 (6) ◽  
pp. 714-720 ◽  
Author(s):  
Yong Zhang ◽  
Yun-Hai Jia ◽  
Jin-Wen Chen ◽  
Xue-Jing Shen ◽  
Lei Zhao ◽  
...  
Keyword(s):  
Analytical Performance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Perspective on the use of nanoparticles to improve LIBS analytical performance: nanoparticle enhanced laser induced breakdown spectroscopy (NELIBS)

2016 ◽  
Vol 31 (8) ◽  
pp. 1566-1573 ◽  
Author(s):  
A. De Giacomo ◽  
M. Dell'Aglio ◽  
R. Gaudiuso ◽  
C. Koral ◽  
G. Valenza
Keyword(s):  
Sample Surface ◽  
Analytical Performance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Nanoparticle Deposition ◽  
New Approach ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Points Of View

In this paper, the new approach for Laser Induced Breakdown Spectroscopy (LIBS) based on nanoparticle deposition on the sample surface is reviewed from both fundamental and application points of view.

scholarly journals Correction: Analytical-performance improvement of laser-induced breakdown spectroscopy for steel using multi-spectral-line calibration with an artificial neural network

2020 ◽  
Vol 35 (7) ◽  
pp. 1497-1497
Author(s):  
Kuohu Li ◽  
Lianbo Guo ◽  
Changmao Li ◽  
Xiangyou Li ◽  
Meng Shen ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Spectral Line ◽  
Performance Improvement ◽  
Analytical Performance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Artificial Neural

Correction for ‘Analytical-performance improvement of laser-induced breakdown spectroscopy for steel using multi-spectral-line calibration with an artificial neural network’ by Kuohu Li et al., J. Anal. At. Spectrom., 2015, 30, 1623–1628, DOI: 10.1039/C5JA00089K.

Study on the spectral characteristics and analytical performance of pulverized coal using laser-induced breakdown spectroscopy under a fast physical constraint

2021 ◽  
Author(s):  
Kaiping Zhan ◽  
Ji Chen ◽  
Chao He ◽  
Zhiyang Tang ◽  
Qingzhou Li ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Spectral Characteristics ◽  
Pulverized Coal ◽  
Analytical Performance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Online Analysis ◽  
Physical Constraint ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Using a new sample preparation device to improve the online analysis capability of LIBS for pulverized coal.

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