Abstract
Curie-point pyrolysis-gas chromatography coupled with multivariate pattern recognition methodology was used to develop a viable method for characterizing accessions of leafy spurge ( Euphorbia esula L.) based on chemical constitution of plant latex. Both hierarchical cluster analysis and Fuzzy c-Varieties (FCV) principal component analysis correctly classified the resulting pyrograms as either E. esula or E. cyparissias. FCV was further able to subcluster (classify) the different accessions of E. esula corresponding to three different populations: Mandan, ND; Cambridge, ID; and Baker, OR. The chemical features (pyrogram peaks) responsible for each differentiation/classification were determined using the output from the FCV algorithm.
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