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PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE STUDY OF SUCCESSIVE COMPLEX FORMATION DATA IN CU(II)-ETHANOLAMINE SYSTEMS
作者姓名:R.TAULER  E.CASASSAS
作者单位:Departament de Química Analitica Universitat de Barcelona,Diagonal 647,E-08028,Barcelona,Spain,Departament de Química Analitica,Universitat de Barcelona,Diagonal 647,E-08028,Barcelona,Spain
摘    要: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 datausing either Gauss elimination or factorial analysis.Relevant information concerning species distributionversus pH is obtained from the plot of the signficant factors upsurging from the evolution of spectraltitration data.


PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE STUDY OF SUCCESSIVE COMPLEX FORMATION DATA IN CU(II)-ETHANOLAMINE SYSTEMS
R.TAULER,E.CASASSAS.PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE STUDY OF SUCCESSIVE COMPLEX FORMATION DATA IN CU(II)-ETHANOLAMINE SYSTEMS[J].Journal of Geographical Sciences,1988(Z1).
Abstract: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.
Keywords:Principal component analysis  Complex formation  Ethanolamines  Evolving factor analysis
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