Data evaluation in chromatography by principal component analysis

Research output: Contribution to journalReview article

22 Citations (Scopus)


The newest achievements in the employment of principal component analysis, a multivariate mathematical statistical method, in the evaluation of chromatographic retention data are compiled. The results obtained by various chromatographic technologies such as gas-liquid chromatography, thin-layer chromatography, high-performance liquid chromatography and electrically driven systems are compiled and briefly discussed.

Original languageEnglish
Pages (from-to)20-28
Number of pages9
JournalBiomedical Chromatography
Issue number1
Publication statusPublished - Jan 1 2010


  • Gas chromatography
  • Liquid chromatographic technologies
  • Principal component analysis

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Molecular Biology
  • Pharmacology
  • Drug Discovery
  • Clinical Biochemistry

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