Cargando…

Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach

A set of 334 commercial virgin olive oil (VOO) samples were evaluated by six sensory panels during the H2020 OLEUM project. Sensory data were elaborated with two main objectives: (i) to classify and characterize samples in order to use them for possible correlations with physical–chemical data and (...

Descripción completa

Detalles Bibliográficos
Autores principales: Barbieri, Sara, Brkić Bubola, Karolina, Bendini, Alessandra, Bučar-Miklavčič, Milena, Lacoste, Florence, Tibet, Ummuhan, Winkelmann, Ole, García-González, Diego Luis, Gallina Toschi, Tullia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143338/
https://www.ncbi.nlm.nih.gov/pubmed/32204346
http://dx.doi.org/10.3390/foods9030355
_version_ 1783519589386158080
author Barbieri, Sara
Brkić Bubola, Karolina
Bendini, Alessandra
Bučar-Miklavčič, Milena
Lacoste, Florence
Tibet, Ummuhan
Winkelmann, Ole
García-González, Diego Luis
Gallina Toschi, Tullia
author_facet Barbieri, Sara
Brkić Bubola, Karolina
Bendini, Alessandra
Bučar-Miklavčič, Milena
Lacoste, Florence
Tibet, Ummuhan
Winkelmann, Ole
García-González, Diego Luis
Gallina Toschi, Tullia
author_sort Barbieri, Sara
collection PubMed
description A set of 334 commercial virgin olive oil (VOO) samples were evaluated by six sensory panels during the H2020 OLEUM project. Sensory data were elaborated with two main objectives: (i) to classify and characterize samples in order to use them for possible correlations with physical–chemical data and (ii) to monitor and improve the performance of panels. After revision of the IOC guidelines in 2018, this work represents the first published attempt to verify some of the recommended quality control tools to increase harmonization among panels. Specifically, a new “decision tree” scheme was developed, and some IOC quality control procedures were applied. The adoption of these tools allowed for reliable classification of 289 of 334 VOOs; for the remaining 45, misalignments between panels of first (on the category, 21 cases) or second type (on the main perceived defect, 24 cases) occurred. In these cases, a “formative reassessment” was necessary. At the end, 329 of 334 VOOs (98.5%) were classified, thus confirming the effectiveness of this approach to achieve a better proficiency. The panels showed good performance, but the need to adopt new reference materials that are stable and reproducible to improve the panel’s skills and agreement also emerged.
format Online
Article
Text
id pubmed-7143338
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71433382020-04-14 Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach Barbieri, Sara Brkić Bubola, Karolina Bendini, Alessandra Bučar-Miklavčič, Milena Lacoste, Florence Tibet, Ummuhan Winkelmann, Ole García-González, Diego Luis Gallina Toschi, Tullia Foods Article A set of 334 commercial virgin olive oil (VOO) samples were evaluated by six sensory panels during the H2020 OLEUM project. Sensory data were elaborated with two main objectives: (i) to classify and characterize samples in order to use them for possible correlations with physical–chemical data and (ii) to monitor and improve the performance of panels. After revision of the IOC guidelines in 2018, this work represents the first published attempt to verify some of the recommended quality control tools to increase harmonization among panels. Specifically, a new “decision tree” scheme was developed, and some IOC quality control procedures were applied. The adoption of these tools allowed for reliable classification of 289 of 334 VOOs; for the remaining 45, misalignments between panels of first (on the category, 21 cases) or second type (on the main perceived defect, 24 cases) occurred. In these cases, a “formative reassessment” was necessary. At the end, 329 of 334 VOOs (98.5%) were classified, thus confirming the effectiveness of this approach to achieve a better proficiency. The panels showed good performance, but the need to adopt new reference materials that are stable and reproducible to improve the panel’s skills and agreement also emerged. MDPI 2020-03-19 /pmc/articles/PMC7143338/ /pubmed/32204346 http://dx.doi.org/10.3390/foods9030355 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Barbieri, Sara
Brkić Bubola, Karolina
Bendini, Alessandra
Bučar-Miklavčič, Milena
Lacoste, Florence
Tibet, Ummuhan
Winkelmann, Ole
García-González, Diego Luis
Gallina Toschi, Tullia
Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach
title Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach
title_full Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach
title_fullStr Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach
title_full_unstemmed Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach
title_short Alignment and Proficiency of Virgin Olive Oil Sensory Panels: The OLEUM Approach
title_sort alignment and proficiency of virgin olive oil sensory panels: the oleum approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143338/
https://www.ncbi.nlm.nih.gov/pubmed/32204346
http://dx.doi.org/10.3390/foods9030355
work_keys_str_mv AT barbierisara alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT brkicbubolakarolina alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT bendinialessandra alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT bucarmiklavcicmilena alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT lacosteflorence alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT tibetummuhan alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT winkelmannole alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT garciagonzalezdiegoluis alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach
AT gallinatoschitullia alignmentandproficiencyofvirginoliveoilsensorypanelstheoleumapproach