Three-way GC-MS raw data of olive oil volatile fingerprint

DOI

Data base containing SPME-GC-MS raw analytical data obtained and used by Quintanilla-Casas et al. (Foods, 9: 1509). Data correspond to the volatile fingerprint of 305 authentic and traceable virgin olive oil samples produced in several EU and non-EU countries during two consecutive crop years (2016–2017 and 2017–2018), and to the information the olive oil category assigned by six official sensory panels in the framework of OLEUM project (EC H2020 Programme 2014–2020). TIC were extracted, aligned, and used to in-house validate the analytical fingerprint and to validate the screening tool to support virgin olive oil sensory panels. This screening tool was based on a PLS-DA classification approach to discriminate the virgin olive oil categories (extra virgin, virgin and lampante olive oil).

Matlab, 7.3

Identifier
DOI https://doi.org/10.34810/data123
Related Identifier IsCitedBy https://doi.org/10.3390/foods9101509
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data123
Provenance
Creator Quintanilla-Casas, Beatriz ORCID logo; Marin, Marco; Guardiola Ibarz, Francesc ORCID logo; García-González, Diego Luis; Barbieri, Sara; Bendini, Alessandra ORCID logo; Gallina Toschi, Tullia ORCID logo; Vichi, Stefania ORCID logo; Tres, Alba
Publisher CORA.Repositori de Dades de Recerca
Contributor Vichi, Stefania
Publication Year 2021
Rights Custom Dataset Terms; info:eu-repo/semantics/openAccess; https://dataverse.csuc.cat/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.34810/data123
OpenAccess true
Contact Vichi, Stefania (Universitat de Barcelona)
Representation
Resource Type Other; Dataset
Format text/plain; application/matlab-mat
Size 5295; 1003379044
Version 1.1
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences