title: Data evaluation in chromatography by principal component analysis.
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.
authors.affiliation: Research Institute of Materials and Environmental Chemistry, Chemical Research Center, Hungarian Academy of Sciences, Budapest, Hungary. tevi@chemres.hu
authors.forename: T
authors.initials: T
authors.lastname: Cserháti
mesh_terms: D002849:Chromatography, Gas / Q000379:methods*; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D002855:Chromatography, Thin Layer / Q000379:methods*; D019075:Electrophoresis, Capillary / Q000379:methods*; D005504:Food Analysis; D015999:Multivariate Analysis; D025341:Principal Component Analysis