期刊
出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jchromb.2012.02.004
关键词
Second- and third-order chromatographic data; Multivariate calibration; Second-order advantage
资金
- Universidad Nacional de Rosario
- CONICET (Consejo Nacional de Investigaciones Cientificas y Tecnicas) [PIP 1950]
- ANPCyT (Agenda Nacional de Promocion Cientifica y Tecnologica [2010-0084]
Quantitative analytical works developed by processing second- and third-order chromatographic data are reviewed. The various modes in which data of complex structure can be measured are discussed, with chromatographic separation providing either one or two of the data dimensions. This produces second-order data (matrices from uni-dimensional chromatography with multivariate detection or from two-dimensional chromatography) or third-order data (three-dimensional data arrays from two-dimensional chromatography with multivariate detection). The available algorithms for processing these data are classified and discussed, regarding their ability to cope with the ubiquitous phenomenon of retention time shifts from run to run. A summary of relevant works applying this combination of techniques is presented, with focus on quantitative analytical results. Special attention is paid to works achieving the full potentiality of the multidimensional data, i.e., the second-order advantage. (c) 2012 Elsevier B.V. All rights reserved.
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