scholarly journals Analysis of Changes in Spectral Signal According to Gas Flow Rate in Laser-Induced Breakdown Spectroscopy

2021 ◽  
Vol 11 (19) ◽  
pp. 9046
Author(s):  
Sangwoo Yoon ◽  
Hae-Woon Choi ◽  
Joohan Kim

In a laser-induced breakdown spectroscopy (LIBS) system that performs elemental analysis of a target by acquiring the emission of plasma generated on the material surface by a focused laser, the plasma signal may be affected by the flow of the surrounding gas. A flow of gas may be present when LIBS measurements are performed in a special environment where an inert gas is normally applied. In such an environment, the flow of gas may affect the intensity of emission generated in plasma. The LIBS spectral intensity in the gas flow field changes according to the direction of the gas flow and the signal detector of the LIBS. In this case, the correlation between the flow rate and intensity of the spectral line can be confirmed both theoretically and experimentally. In this study, changes in the signal according to the flow rate were theoretically evaluated using the view factor and wave equation. In addition, LIBS signals were examined based on the flow of Ar, N2, and He gases in the experiment. The experimental results confirmed the range of effective gas flow rates over which the correlation between the flow rate and intensity of the LIBS spectral line could be inferred. These results could be used for calibration to achieve accurate measurement of LIBS signals in gas flow fields. In addition, this analysis has the potential to shed light on the properties of flowing gases that affect plasma by reversibly tracking changes in the signal of LIBS in a confined environment.

2015 ◽  
Vol 30 (10) ◽  
pp. 2107-2119 ◽  
Author(s):  
Jung-Hwan In ◽  
Chan-Kyu Kim ◽  
Sungho Jeong

The precision of laser induced breakdown spectroscopy (LIBS) measurement is analyzed in consideration of both the shot noise of the detector and the shot-to-shot fluctuation noise of the laser plasma.


2015 ◽  
Vol 52 (10) ◽  
pp. 103004
Author(s):  
孟德硕 Meng Deshuo ◽  
赵南京 Zhao Nanjing ◽  
马明俊 Ma Mingjun ◽  
王寅 Wang Yin ◽  
胡丽 Hu Li ◽  
...  

2020 ◽  
Vol 35 (7) ◽  
pp. 1497-1497
Author(s):  
Kuohu Li ◽  
Lianbo Guo ◽  
Changmao Li ◽  
Xiangyou Li ◽  
Meng Shen ◽  
...  

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.


2015 ◽  
Vol 30 (7) ◽  
pp. 1623-1628 ◽  
Author(s):  
Kuohu Li ◽  
Lianbo Guo ◽  
Changmao Li ◽  
Xiangyou Li ◽  
Meng Shen ◽  
...  

A multi-spectral-line calibration approach based on an artificial neural network is presented for steel analysis in LIBS.


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