SPME-GC-MS raw data for the development of profiling and fingerprinting analysis of sesquiterpene hydrocarbons for the geographical authentication of extra virgin olive oils

DOI

Data base containing SPME-GC-MS raw analytical data obtained and used by Quintanilla-Casas et al. (Food Chemistry, 2020, 125556). Data correspond to 82 authentic and traceable olive oil samples, declared as EVOO by the suppliers obtained in the framework of OLEUM project (EC H2020 Programme 2014–2020) from seven different EU and non-EU countries: Croatia (n=11); Slovenia (SVN) (n=8); Spain (ESP) (n=17); Italy (ITA) (n=15); Greece (GRC) (n=6); Morocco (MAR) (n=15) and Turkey (TUR) (n=10). With the aim of reflecting the real production scenario, EVOO samples in this prospective study were obtained under usual production practices for commercial purposes, and thus consisted of both monovarietal oils as well as market blends of olive cultivars typical of each geographical origin. Briefly, data correspond to SPME-GC-MS scan intensities of the specific sesquiterpene hydrocarbon (SH) ions (m/z 93, 107, 119, 135, 157, 159, 161, 189 and 204) obtained from the Total Ion Current (TIC) between the 18th to the 30th minute. Thus, 2467 scans were obtained for each m/z ion implying 22203 variables per sample.

Identifier
DOI https://doi.org/10.34810/data102
Related Identifier IsCitedBy https://doi.org/10.1016/j.foodchem.2019.125556
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data102
Provenance
Creator Quintanilla-Casas, Beatriz ORCID logo; Bertin, Sofia; Leik, Kerstin; Bustamante Alonso, Julen; Guardiola Ibarz, Francesc ORCID logo; Valli, Enrico; Bendini, Alessandra ORCID logo; Gallina Toschi, Tullia ORCID logo; Tres Oliver, Alba ORCID logo; Vichi, S. (Stefania) ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Alba Tres
Publication Year 2021
Rights Custom Dataset Terms; info:eu-repo/semantics/openAccess; https://dataverse.csuc.cat/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34810/data102
OpenAccess true
Contact Alba Tres (Universitat de Barcelona)
Representation
Resource Type Other; Dataset
Format text/tab-separated-values
Size 782
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Chemistry; Life Sciences; Natural Sciences