Comparison of spectrum normalization techniques for univariate analysis of stainless steel by laser-induced breakdown spectroscopy

Pramana

KARKI VIJAY¹  SINGH MANJEET¹  MAURYA GULAB SINGH²  RAI AWADHESH KUMAR²  AGGARWAL SURESH KUMAR¹  KUMAR ROHIT²  SARKAR ARNAB1¹ 

[1] Fuel Chemistry Division, Bhabha Atomic Research Centre, Mumbai 400 085, India$$;Department of Physics, University of Allahabad, Allahabad 211 002, India$$

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

DOI  :  

学科分类：物理（综合）

来源: Indian Academy of Sciences

【 摘 要 】

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.

【 授权许可】

Unknown