Durum wheat is used for the manufacture of pasta. Declaration of geographical origin is an increasing regulatory requirement. In this study, authentic samples of durum wheat from different Italian, European, and non-European regions harvested in different years were collected, and their 87Sr/86Sr isotopic ratio determined. The samples were also analysed by inductively coupled plasma mass spectrometry (ICP‒MS) to determine 75 elements. A tiered approach was adopted in which the results of the 87Sr/86Sr analysis were input to a second step of support vector machine classification modelling (SVMC) based on the concentrations of 8 of the 75 elements ( Al, Mn, Mo, P, S, Ti, Y, and Zn). The model was validated against a blind set of samples. This predictive model was able to distinguish satisfactorily between Italian durum wheat and durum wheat from the rest of the world.
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