Chemometric classification of some European wines using pyrolysis-mass spectrometry
The application of Curie-point pyrolysis mass spectrometry (Py-MS) to 33 certified wine samples from different regions of Spain, France and Italy is reported. The resulting mass spectra were submitted to principal component analysis (PCA), canonical variates analysis (CVA) and cluster analysis producing a final dendrogram, using average linkage clustering. A good classification was achieved according to large geographical areas (country of origin), while no correlation was found to grape species or to local areas of cultivation. The same data were submitted to artificial neural networks (ANNs) analysis using the backpropagation algorithm and dividing the data into a training and a test data set. More than 90 % of the test wine samples were correctly identified according to their country of origin after training of the artificial neural network. Again no correlation was found between Py-MS mass spectra and grape species or area of cultivation. Nevertheless the technique could be applied to rapid screenings of wine samples for the tentative identification of country of origin.
Bibliographic Reference: Paper presented: Rapid Communications in Mass Spectrometry, Bordeaux (FR), September 1995
Availability: Available from (1) as Paper EN 39267 ORA
Record Number: 199511468 / Last updated on: 1995-11-03
Original language: en
Available languages: en