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Markers of sensory dynamics in phenols-rich virgin olive oils under optimal storage conditions.
Pierguidi, Lapo; Cecchi, Lorenzo; Dinnella, Caterina; Zanoni, Bruno; Spinelli, Sara; Migliorini, Marzia; Monteleone, Erminio.
Affiliation
  • Pierguidi L; Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144, Florence, Italy.
  • Cecchi L; Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144, Florence, Italy. Electronic address: lo.cecchi@unifi.it.
  • Dinnella C; Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144, Florence, Italy.
  • Zanoni B; Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144, Florence, Italy.
  • Spinelli S; Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144, Florence, Italy.
  • Migliorini M; Carapelli Firenze S.p.A., Via Leonardo da Vinci 31, Tavarnelle Val di Pesa, 50028, Firenze, Italy.
  • Monteleone E; Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144, Florence, Italy.
Food Res Int ; 187: 114438, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38763685
ABSTRACT
Early changes in sensory quality of phenols-rich virgin olive oil (VOO) and their relationship with the chemical changes are less studied in the literature. Therefore, the objective of this study was to propose a predictive model of dynamics of sensory changes based on specific chemical markers. The evolution of the sensory quality of phenol-rich VOOs from Tuscan cultivars stored under optimal storage conditions (i.e., absence of light, no O2 exposure, low temperature) was investigated using a multi-step methodological approach combining sensory (official sensory analysis (so-called Panel Test), Descriptive Analysis and Temporal Dominance of Sensation) and chemical measurements. The sensory map from descriptive data was related to the phenolic and volatile profiles, measured using HPLC-DAD and HS-SPME-GC-MS, respectively. A predictive model of the sensory changes over storage based on chemical compounds was developed. Results showed that very early changes involving phenolic and volatile compounds profiles occur in VOOs stored under optimal storage conditions, which turn in changes in sensory properties evaluated by the official panel test, the descriptive analysis and the temporal dominance of sensation. Furthermore, a chemical marker of sensory dynamics of oils during storage was identified as the ratio between two groups of secoiridoids. The proposed model, supported by the mentioned chemical marker, has the potential of improving the control of sensory changes in phenols-rich virgin olive oils during storage in optimal conditions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenols / Food Storage / Volatile Organic Compounds / Olive Oil Limits: Adult / Female / Humans / Male Language: En Journal: Food Res Int Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenols / Food Storage / Volatile Organic Compounds / Olive Oil Limits: Adult / Female / Humans / Male Language: En Journal: Food Res Int Year: 2024 Document type: Article Affiliation country: