Abstract
Eight oak wood samples from the U.S., together with 39 samples coming from six different French regions, have been classified according to geographical origin. Extracts of the wood samples have been analyzed by gas chromatography and high pressure liquid chromatography. Three multivariate methods of analysis have been applied to 11 analytical parameters measured for each sample. Principal components analysis (PCA) and correspondence factor analysis (CFA) have allowed the data structure to be visualized, while the application of the SIMCA classification method has shown that all samples from U.S. and France can be distinguished from each other, while most of the samples from France can be unambiguously assigned to their actual classes of geographical origin even though they have been taken from neighboring forests.
- Received November 1992.
- Copyright 1994 by the American Society for Enology and Viticulture
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