Abstract
In the present study, proton transfer reaction-mass spectrometry (PTR-MS) in combination with partial least square-discriminant analysis (PLS-DA) was evaluated as a method for the prediction of the origin of European butters. Eighty-three commercial butters from three European regions were subjected to headspace analysis using PTR-MS. Data were collected for the mass range m/z 20-150 using a dwell time of 0.2 s mass−1, resulting in a cycle time just under 30 s. The log transformed headspace concentrations of the masses were subjected to PLS-DA in order to estimate classification models for the butter samples. One model predicted the region of origin; a second set of models predicted dichotomously whether or not a butter originated from a particular EU country. The performance of each model was evaluated by means of a 10-fold double cross validation procedure. For 76% of the butters the region of origin was predicted correctly in the cross validation. The success rate of the countries, averaged over all dichotomous models, was 88% but large differences between countries were observed. Additional work is required to study the underlying factors that determine the geographical differences in butter volatile compositions.
Original language | English |
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Pages (from-to) | 169-175 |
Number of pages | 6 |
Journal | Journal of Food Composition and Analysis |
Volume | 22 |
Issue number | 2 |
DOIs | |
Publication status | Published - Mar 2009 |
Keywords
- butter
- european butter
- geographic origin determination of food
- classification
- direct mass spectrometry
- headspace analysis
- proton transfer reaction-mass spectrometry
- PTR-MS
- partial least square-discriminant analysis
- PLS-DA
- volatile compounds
- food composition
- food analysis