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https://doi.org/10.5562/cca2377

Chemometric Analysis of Croatian Extra Virgin Olive Oils from Central Dalmatia Region

Ozren Jović ; Faculty of Science, Department of Chemistry, University of Zagreb, Horvatovac 102A, HR-10000 Zagreb, Croatia
Tomislav Smolić ; Agrokor d.d., Research and Development Department, Trg Dražena Petrovića 3, HR-10000 Zagreb, Croatia
Zorica Jurišić ; Zvijezda d.d., Development Department, Marijana Čavića 1, HR-10000 Zagreb, Croatia
Zlatko Meić ; Faculty of Science, Department of Chemistry, University of Zagreb, Horvatovac 102A, HR-10000 Zagreb, Croatia
Tomica Hrenar ; Faculty of Science, Department of Chemistry, University of Zagreb, Horvatovac 102A, HR-10000 Zagreb, Croatia


Puni tekst: engleski pdf 7.621 Kb

str. 335-344

preuzimanja: 1.688

citiraj


Sažetak

Extra virgin olive oil samples were collected from different geographical areas of Central Dalmatia region in Croatia including locations both on the coast and islands. This set included 41 oils of cul-tivar Oblica, 1 per cultivars Coratina and Leccino, and 5 of mixed cultivars Lastovka and Oblica. Attenuated total reflectance (ATR) spectra of non-treated samples were recorded and principal component analysis (PCA) was carried out on a set of obtained spectra, as well as their first and second derivatives. The quality of PCA models was assessed using leave-one-out cross-validation and optimal number of principal components was determined. In the case of ATR spectra, the first principal component accounted for 42.92 % of the total variance among the samples and the optimal number of components was 6, whereas in the case of second derivatives the first principal component accounted for 95.76 % of the total variance and the optimal number of components was 3. Classification of olive oils on the basis of geographical origin was proposed and underlying spectral differences among the spectra were determined by investigating principal component loadings. These differences arise as a result of variations in fatty acid composition. It was found out that ATR in combination with PCA could easily distinguish between samples collected from the coastal area and those from the islands. Classification results were further confirmed by using spherical principal components procedure, projection pursuit and robust PCA, as well as hierarchical cluster analysis.(doi: 10.5562/cca2377)

Ključne riječi

Croatia; extra virgin olive oils; ATR-FTIR spectroscopy; principal component analysis; cluster analysis

Hrčak ID:

111709

URI

https://hrcak.srce.hr/111709

Datum izdavanja:

20.11.2013.

Posjeta: 2.686 *