Comparison of solid sampling spectrochemical methods by means of multivariate statistics and information theory

K. Danzer, K. Flórian, J. Haßler, M. Matherny, W. Schrön, Gy Zaray

Research output: Contribution to journalReview article

7 Citations (Scopus)

Abstract

Interlaboratory studies and method comparison studies can usually be evaluated by using univariate statistical procedures. Alternatively, methods of multivariate data analysis can be applied to evaluate the reliability of methods more generally and simultaneously for all the elements determined by multicomponent analyses. The investigations described here were carried out to demonstrate the efficiency of multivariate and information theory evaluation techniques by comparing several multi-element solid sampling methods. Cluster analysis and PCA (principal component analysis) were used to compare the results of ETV-ICP-OES, solid sampling AAS, TXRF, dc arc spectrometry and dc arc spectrography by multivariate methods. The results correspond significantly to the information theory evaluation according to Kerridge-Bongard's inaccuracy model of information, where both the precision and trueness of the analytical results are taken into account.

Original languageEnglish
Pages (from-to)371-375
Number of pages5
JournalJournal of analytical atomic spectrometry
Volume13
Issue number5
DOIs
Publication statusPublished - May 1998

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Keywords

  • Atomic spectrometry
  • Comparison of methods
  • Information theory
  • Multivariate data analysis
  • Solid sampling techniques

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy

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