Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry

Multivariate data visualization methods based on elemental analysis of wines by atomic absorption spectrometry

The contents of five metals (Cu, Mn, Fe, Cd, and Pb) in several red and white wines originating from different regions of Serbia were determined by flame and graphite furnace atomic absorption spectrometry. The data were processed using chemometric techniques. Principal component and factor analysis...

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Bibliographic Details
Main Authors: SLAVICA RAZIC, DJURO COKESA, SNEZANA SREMAC
Format: Article
Language:English
Published: Serbian Chemical Society 2007-12-01
Series:Journal of the Serbian Chemical Society
Subjects:
principal component analysis
factor analysis
cluster analysis
metals
wines
classification
Online Access:http://www.shd.org.yu/JSCS/Vol72/No12/JSCS_V72_No12-30.pdf

Internet

http://www.shd.org.yu/JSCS/Vol72/No12/JSCS_V72_No12-30.pdf

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