• Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/pram/086/06/1313-1327

    • Keywords

       

      Laser-induced breakdown spectroscopy; univariate study; normalization models; stainless steel; standard error of prediction.

    • Abstract

       

      Analytical performance of six different spectrum normalization techniques, namelyinternal normalization, normalization with total light, normalization with background along with their three-point smoothing methods were studied using LIBS for quantification of Cr, Mn and Ni in stainless steel. Optimization of the number of laser shots per spectrum was carried out to obtain the best analytical results. Internal normalization technique model was used for selecting the bestemission lines having sufficient intensity and spectral purity for Cr, Mn and Ni for comparison of different normalization techniques. For detailed evaluation of these normalization techniques, under optimized experimental conditions, three statistical parameters i.e., standard error of prediction, relative standard deviation and average bias, were compared for these techniques using theselected emission lines. Results show that the internal normalization technique produces the best analytical results followed by total light normalization. The smoothing of the raw spectra reduces the random error and produces better analytical results provided the peak under study has sufficient $(\ge 7)$ number of pixels.

    • Author Affiliations

       

      KARKI VIJAY1 SARKAR ARNAB1 SINGH MANJEET1 MAURYA GULAB SINGH2 KUMAR ROHIT2 RAI AWADHESH KUMAR2 AGGARWAL SURESH KUMAR1

      1. Fuel Chemistry Division, Bhabha Atomic Research Centre, Mumbai 400 085, India
      2. Department of Physics, University of Allahabad, Allahabad 211 002, India
    • Dates

       
  • Pramana – Journal of Physics | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

© 2017-2019 Indian Academy of Sciences, Bengaluru.