Data evaluation in chromatography by principal component analysis
- PMID: 19629960
- DOI: 10.1002/bmc.1294
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.
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