Improved elemental quantification in copper ores by laser-induced breakdown spectroscopy with judicious data processing

2021 ◽  
pp. 106343
Author(s):  
Marizú Velásquez ◽  
Jonnathan Álvarez ◽  
Claudio Sandoval ◽  
Eimmy Ramírez ◽  
Martín Bravo ◽  
...  
Keyword(s):  
Data Processing ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Copper Ores

Coal analysis by laser-induced breakdown spectroscopy: a tutorial review

2019 ◽  
Vol 34 (6) ◽  
pp. 1047-1082 ◽  
Author(s):  
Sahar Sheta ◽  
Muhammad Sher Afgan ◽  
Zongyu Hou ◽  
Shun-Chun Yao ◽  
Lei Zhang ◽  
...  
Keyword(s):  
Fly Ash ◽  
Data Processing ◽  
Review Article ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Coal Analysis ◽  
Analytical Results ◽  
Laser Induced Breakdown ◽  
Combustion Monitoring ◽  
Libs Applications

This review article forms a guideline for LIBS contribution in coal analysis, encompassing fundamental aspects, operation modes, data processing, and analytical results. LIBS applications related to coal utilization are also highlighted (fly ash analysis and combustion monitoring).

Methods of Data Processing for Trace Elements Analysis Using Laser Induced Breakdown Spectroscopy

2015 ◽  
Vol 17 (11) ◽  
pp. 944-947 ◽  
Author(s):  
Rui Wang ◽  
Xiaohong Ma ◽  
Qi Yu ◽  
Yang Song ◽  
Huafeng Zhao ◽  
...  
Keyword(s):  
Trace Elements ◽  
Data Processing ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Trace Elements Analysis ◽  
Laser Induced Breakdown

Alternative Statistical Methods for Spectral Data Processing: Applications to Laser-Induced Breakdown Spectroscopy of Gaseous and Aerosol Systems

2008 ◽  
Vol 62 (10) ◽  
pp. 1144-1152 ◽  
Author(s):  
L. A. Álvarez-Trujillo ◽  
A. Ferrero ◽  
J. J. Laserna ◽  
D. W. Hahn
Keyword(s):  
Standard Deviation ◽  
Data Processing ◽  
Spectral Data ◽  
Homogeneous System ◽  
Laser Induced Breakdown Spectroscopy ◽  
Ensemble Averaging ◽  
Breakdown Spectroscopy ◽  
Analyte Signal ◽  
Laser Induced Breakdown ◽  
Deviation Method

A new spectral data processing scheme based on the standard deviation of collected spectra is compared with the traditional ensemble-averaging of laser-induced breakdown spectroscopy (LIBS)-based spectral data for homogenous (i.e., pure gas phase) systems and with a LIBS-based traditional conditional spectral analysis scheme for non-homogenous (e.g., aerosol system) analyte systems under discrete particle loadings. The range of conditions enables quantitative assessment of the analytical approaches under carefully controlled experimental conditions. In the homogeneous system with gaseous carbon dioxide producing the carbon atomic emission signal, the standard deviation method provided a suitable metric that is directly proportional to the analyte signal and compares favorably with a traditional ensemble averaging scheme. In contrast, the applicability of the standard deviation method for analysis of non-homogenous analyte systems (e.g., aerosol systems) must be carefully considered. It was shown both experimentally and via Monte Carlo simulations that the standard deviation approach can produce an analyte response that is monotonic with analyte concentration up to a point at which the analyte signal starts to transition from a non-homogeneous system to a homogeneous systems (i.e., around a 50% sampling point for aerosol particles). In addition, the standard deviation spectrum is capable of revealing spectral locations of non-homogeneously dispersed analyte species without a priori knowledge.

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