TY - JOUR
T1 - Proton transfer reaction-mass spectrometry volatile organic compound fingerprinting for monovarietal extra virgin olive oil identification
AU - Ruiz-Samblás, Cristina
AU - Tres, Alba
AU - Koot, Alex
AU - Van Ruth, Saskia M.
AU - González-Casado, Antonio
AU - Cuadros-Rodríguez, Luis
PY - 2012/9
Y1 - 2012/9
N2 - Proton transfer reaction-mass spectrometry (PTR-MS) is a relatively new technique that allows the fast and accurate qualification of the volatile organic compound (VOC) fingerprint. This paper describes the analysis of thirty samples of extra virgin olive oil, of five different varieties of olive fruit (Arbequina, Cornicabra, Frantoio, Hojiblanca, and Picual) by PTR-MS. A multivariate pattern recognition method (partial least square-discriminant analysis, PLS-DA) was applied on the full spectra fingerprint of the PTR-MS measurements. The multivariate model was doubly validated: firstly by means of internal validation (cross-validation) and secondly with an external validation data set. The results showed that the five varieties could be successfully distinguished within them. The proposed method provides a new valuable tool for extra virgin olive oil classification according to variety, and it could serve as a screening technique for the authentication of monovarietal extra-virgin olive oil and as a methodology to confirm that a variety is in agreement with claimed identity.
AB - Proton transfer reaction-mass spectrometry (PTR-MS) is a relatively new technique that allows the fast and accurate qualification of the volatile organic compound (VOC) fingerprint. This paper describes the analysis of thirty samples of extra virgin olive oil, of five different varieties of olive fruit (Arbequina, Cornicabra, Frantoio, Hojiblanca, and Picual) by PTR-MS. A multivariate pattern recognition method (partial least square-discriminant analysis, PLS-DA) was applied on the full spectra fingerprint of the PTR-MS measurements. The multivariate model was doubly validated: firstly by means of internal validation (cross-validation) and secondly with an external validation data set. The results showed that the five varieties could be successfully distinguished within them. The proposed method provides a new valuable tool for extra virgin olive oil classification according to variety, and it could serve as a screening technique for the authentication of monovarietal extra-virgin olive oil and as a methodology to confirm that a variety is in agreement with claimed identity.
KW - Chemometric discrimination
KW - Monovarietal extra-virgin olive oil
KW - PTR-MS
KW - Volatile organic compounds
UR - https://www.scopus.com/pages/publications/84860355513
U2 - 10.1016/j.foodchem.2012.02.135
DO - 10.1016/j.foodchem.2012.02.135
M3 - Article
AN - SCOPUS:84860355513
SN - 0308-8146
VL - 134
SP - 589
EP - 596
JO - Food Chemistry
JF - Food Chemistry
IS - 1
ER -