HS-SPME-GC-MS and Chemometrics for the Quality Control and Clustering of Monovarietal Extra Virgin Olive Oil: A 3-Year Study on Terpenes and Pentene Dimers of Italian Cultivars.

LOX pathway Olea europaea L. authentication monocultivar extra virgin olive oil sesquiterpenes terpenes volatile hydrocarbon compounds

Journal

Journal of agricultural and food chemistry
ISSN: 1520-5118
Titre abrégé: J Agric Food Chem
Pays: United States
ID NLM: 0374755

Informations de publication

Date de publication:
02 May 2024
Historique:
medline: 3 5 2024
pubmed: 3 5 2024
entrez: 3 5 2024
Statut: aheadofprint

Résumé

Terpenes and pentene dimers are less studied volatile organic compounds (VOCs) but are associated with specific features of extra virgin olive oils (EVOOs). This study aimed to analyze mono- and sesquiterpenes and pentene dimers of Italian monovarietal EVOOs over 3 years (14 cultivars, 225 samples). A head space-solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) method recently validated was used for terpene and pentene dimer quantitation. The quantitative data collected were used for both the characterization and clustering of the cultivars. Sesquiterpenes were the molecules that most characterized the different cultivars, ranging from 3.908 to 38.215 mg/kg; different groups of cultivars were characterized by different groups of sesquiterpenes. Pentene dimers (1.336 and 3.860 mg/kg) and monoterpenes (0.430 and 1.794 mg/kg) showed much lower contents and variability among cultivars. The application of Kruskal-Wallis test-PCA-LDA-HCA to the experimental data allowed defining 4 clusters of cultivars and building a predictive model to classify the samples (94.3% correct classification). The model was further tested on 33 EVOOs, correctly classifying 91% of them.

Identifiants

pubmed: 38698543
doi: 10.1021/acs.jafc.4c00610
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Tommaso Ugolini (T)

DAGRI─Department of Agricultural, Food, Environmental, and Forestry Sciences and Technologies, University of Florence, via Donizetti, 6, 50144 Firenze, Italy.

Federico Mattagli (F)

DAGRI─Department of Agricultural, Food, Environmental, and Forestry Sciences and Technologies, University of Florence, via Donizetti, 6, 50144 Firenze, Italy.

Fabrizio Melani (F)

Department of NEUROFARBA, University of Florence, Via Ugo Schiff 6, Sesto F.no, 50019 Florence, Italy.

Bruno Zanoni (B)

DAGRI─Department of Agricultural, Food, Environmental, and Forestry Sciences and Technologies, University of Florence, via Donizetti, 6, 50144 Firenze, Italy.

Marzia Migliorini (M)

Carapelli Firenze S.p.A., Via Leonardo da Vinci 31, Tavarnelle Val di Pesa, 50028 Firenze, Italy.

Serena Trapani (S)

Carapelli Firenze S.p.A., Via Leonardo da Vinci 31, Tavarnelle Val di Pesa, 50028 Firenze, Italy.

Elisa Giambanelli (E)

Carapelli Firenze S.p.A., Via Leonardo da Vinci 31, Tavarnelle Val di Pesa, 50028 Firenze, Italy.

Alessandro Parenti (A)

DAGRI─Department of Agricultural, Food, Environmental, and Forestry Sciences and Technologies, University of Florence, via Donizetti, 6, 50144 Firenze, Italy.

Nadia Mulinacci (N)

Department of NEUROFARBA, University of Florence, Via Ugo Schiff 6, Sesto F.no, 50019 Florence, Italy.

Lorenzo Cecchi (L)

DAGRI─Department of Agricultural, Food, Environmental, and Forestry Sciences and Technologies, University of Florence, via Donizetti, 6, 50144 Firenze, Italy.

Classifications MeSH