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2005
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Research: Science and Education
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Characterization and Classification of Lanthanides by Multivariate-Analysis Methods
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Ossi Horovitz and Costel Sârbu
Department of Chemistry and Chemical Engineering, Babes-Bolyai University, 400028 Cluj-Napoca, Romania
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March 2005
Vol. 82 No. 3
p. 473
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| Abstract |
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A chemometric study was conducted on a data set consisting of 18 characteristics, mainly physical properties of the 14 lanthanides and lanthanum, including Sc and Y. Classical methods of multivariate analysis, namely, principal component analysis (PCA) and cluster analysis (CA) were applied. The results obtained by using the Statistica software package are presented and discussed concerning the correlations between the properties and those between the elements themselves. The discussion and findings are based on the tables of correlation, the eigenvectors and eigenvalues of PCA, the 2D- and 3D-representations of the loadings of variables and scores of the elements corresponding to the first principal components, including also the dendrograms obtained by using CA. Loadings scatterplots are used as a display tool for examining the relationships between properties, looking for trends, grouping, or outliers. In the same way, the scatterplots of scores emphasized the difference between La and the lanthanides on the one side and Sc and Y on the other and support setting Lu as their homologue, rather than La. On the basis of these findings, a ”periodic system“ of the lanthanides is suggested that agrees well with chemical intuition.
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| More Information |
 Citation |
Horovitz, Ossi; Sârbu, Costel. J. Chem. Educ. 2005 82 473.
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Keywords |
Atomic Properties / Structure; Chemical Education Research; Computational Chemistry; General Chemistry; History / Philosophy; Periodicity / Periodic Table; Statistics / Data Analysis
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History |
Created:
Last Updated: |
February 2, 2005
February 18, 2005
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| Home > JCE Print > Journal of Chemical Education > Issues >
2005
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March
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473
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