Article ID Journal Published Year Pages File Type
1189941 Food Chemistry 2011 6 Pages PDF
Abstract

Headspace solid-phase microextraction/gas chromatography–mass spectrometry (HS-SPME/GC–MS) and isotope ratio mass spectrometry (IRMS), in combination with appropriate statistical techniques, were used for the prediction of the geographical origin of Italian potatoes cultivated in three different Italian locations: Sicily, Apulia, and Tuscany. An analysis of variance, performed on log transformed headspace volatile compounds and isotopic ratios, highlighted statistically significant differences (p < 0.05) in the values of 15 volatile compounds and for all isotopic parameters among the potatoes produced in the three different geographical areas. A Post-Hoc test showed that only the oxygen and nitrogen isotopic ratios distinguished the potatoes produced at the three sites. Applying discriminant function analysis (DFA), the classification results were 100% by using both volatile and complete data set (isotopic ratios and volatile compounds), whereas classification results were 91.7% for isotopic data; the prediction ability of 91.7%, evaluated by leave-one-out procedure, was the same by applying DFA both on single data sets (volatile compounds or isotopic ratios) and on all data together.

Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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