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Principal component analysis applied to the study of successive complex formation data in Cu(II)–ethanolamine systems
Author(s) -
Tauler R.,
Casassas E.
Publication year - 2005
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180030507
Subject(s) - principal component analysis , ethanolamine , rank (graph theory) , plot (graphics) , chemistry , data matrix , matrix (chemical analysis) , spectral analysis , component (thermodynamics) , factorial analysis , biological system , analytical chemistry (journal) , statistics , mathematics , thermodynamics , chromatography , spectroscopy , organic chemistry , physics , clade , biochemistry , combinatorics , quantum mechanics , biology , gene , phylogenetic tree
Application of principal component analysis to Cu(II)–ethanolamine complex formation data is shown. Determination of the number of complex species is obtained from the rank of the matrix of spectral data using either Gauss elimination or factorial analysis. Relevant information concerning species distribution versus pH is obtained from the plot of the signficant factors upsurging from the evolution of spectral titration data.