Sensory analysis and consumer acceptance of 140 high‐quality extra virgin olive oils

BACKGROUND: Sensory analysis is a crucial tool for evaluating the quality of extra virgin olive oils. One aim of such an investigation is to verify if the sensory attributes themselves – which are strictly related to volatile and phenolic compounds – may permit the discrimination of high‐quality pro...

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Veröffentlicht in:Journal of the science of food and agriculture 2014-08, Vol.94 (10), p.2124-2132
Hauptverfasser: Valli, Enrico, Bendini, Alessandra, Popp, Martin, Bongartz, Annette
Format: Artikel
Sprache:eng
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Zusammenfassung:BACKGROUND: Sensory analysis is a crucial tool for evaluating the quality of extra virgin olive oils. One aim of such an investigation is to verify if the sensory attributes themselves – which are strictly related to volatile and phenolic compounds – may permit the discrimination of high‐quality products obtained by olives of different cultivars and/or grown in various regions. Moreover, a crucial topic is to investigate the interdependency between relevant parameters determining consumer acceptance and objective sensory characteristics evaluated by the panel test. RESULTS: By statistically analysing the sensory results, a grouping – but not discriminatory – effect was shown for some cultivars and some producing areas. The preference map shows that the most appreciated samples by consumers were situated in the direction of the ‘ripe fruity’ and ‘sweet’ axis and opposite to the ‘bitter’ and ‘other attributes’ (pungent, green fruity, freshly cut grass, green tomato, harmony, persistency) axis. CONCLUSION: Extra virgin olive oils produced from olives of the same cultivars and grown in the same areas shared similar sensorial attributes. Some differences in terms of expectation and interpretation of sensory characteristics of extra virgin olive oils might be present for consumers and panellists: most of the consumers appear unfamiliar with positive sensorial attributes, such as bitterness and pungency. © 2013 Society of Chemical Industry
ISSN:0022-5142
1097-0010
DOI:10.1002/jsfa.6535