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                            Library & Multimedia
 Statistical Evaluation of Sectral Interferences in Laser-Induced Breakdown Spectroscopy
NCJ Number
              254199
Journal

*Spectrochimica Acta Part B-Atomic Spectroscopy* Volume: 149 Dated: November 2018 Pages: 167-175
Author(s)
          Jessica Chappell;
                        Mauro Martinez;
                        Matthieu Baudelet
Date Published

November 2018
Length
              9 pages
Annotation
              Since line broadening due to plasma processes or the instrument degrade spectral resolution, leading to uncertainty in the elemental profile obtained by optical emission spectroscopy, the current study introduced a novel approach to quantify spectral interferences in laser-induced breakdown spectroscopy (LIBS).
Abstract
              The proposed algorithm establishes a statistical interference factor (SIF) to quantify spectral interferences for individual line assignment in LIBS while using the full information provided by a spectrum. This factor combines fundamentals of plasma emission with a Bayesian analysis of the experimental spectrum, using eventual prior knowledge about the sample and/or the conditions of analysis. Two types of prior knowledge were used to interpret spectra from a pure silicon sample as well as a NIST SRM 610 glass sample and alumina with a controlled Ni contamination at different concentrations. Knowledge of the elemental composition confirmed the existence of spectral lines with high sensitivity to interference, while other lines were more appropriate for analysis due to their consistent SIFs, despite having knowledge of the composition. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2012-DN-BX-K027


  
  
        
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        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Level of confidence in elemental analysis by LIBS
    
  
  
Date Published: November 1, 2018
    
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