采用主成分分析法对色谱数据进行评估。

Data evaluation in chromatography by principal component analysis.

作者信息

Cserháti T

机构信息

Research Institute of Materials and Environmental Chemistry, Chemical Research Center, Hungarian Academy of Sciences, Budapest, Hungary.

出版信息

Biomed Chromatogr. 2010 Jan;24(1):20-8. doi: 10.1002/bmc.1294.

DOI:10.1002/bmc.1294

PMID:19629960

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.

摘要

本文汇总了多元数学统计方法——主成分分析在色谱保留数据评估中的最新应用成果。同时，还汇总并简要讨论了气液色谱、薄层色谱、高效液相色谱和电动系统等各种色谱技术所获得的结果。