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 |
|---|---|
| Pages (from-to) | 169-175 |
| Number of pages | 7 |
| Journal | Journal of Food Composition and Analysis |
| Volume | 22 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2009 |
| Externally published | Yes |
Keywords
- Butter
- Classification
- Direct mass spectrometry
- European butter
- Food analysis
- Food composition
- Geographic origin determination of food
- Headspace analysis
- Partial least square-discriminant analysis
- PLS-DA
- Proton transfer reaction-mass spectrometry
- PTR-MS
- Volatile compounds