Data evaluation in chromatography by principal component analysis

Research output: Contribution to journalArticle

21 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 2010

Fingerprint

Thin layer chromatography
Liquid chromatography
High performance liquid chromatography
Thin Layer Chromatography
Chromatography
Principal Component Analysis
Gas chromatography
Gas Chromatography
Principal component analysis
Statistical methods
High Pressure Liquid Chromatography
Technology

Keywords

  • Gas chromatography
  • Liquid chromatographic technologies
  • Principal component analysis

ASJC Scopus subject areas

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

Cite this

Data evaluation in chromatography by principal component analysis. / Cserháti, T.

In: Biomedical Chromatography, Vol. 24, No. 1, 01.2010, p. 20-28.

Research output: Contribution to journalArticle

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