Data evaluation in chromatography by principal component analysis

Research output: Contribution to journalReview article

22 Citations (Scopus)

Abstract

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
Volume24
Issue number1
DOIs
Publication statusPublished - Jan 1 2010

Keywords

  • Gas chromatography
  • Liquid chromatographic technologies
  • Principal component analysis

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Data evaluation in chromatography by principal component analysis'. Together they form a unique fingerprint.

  • Cite this