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Updated: Jun 21, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
Data evaluation in chromatography by principal component analysis
1Research Institute of Materials and Environmental Chemistry, Chemical Research Center, Hungarian Academy of Sciences, Budapest, Hungary. tevi@chemres.hu
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.
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