Triacylglycerol profiling data of olive oil samples obtained by Flow Injection Analysis-Heated Electrospray Ionisation-High Resolution Mass Spectrometry (FIA-HESI-HRMS)

DOI

Data base containing data on the triacylclgyerol profile of genuine and adulterated olive oils obtained by Flow Injection Analysis-Heated Electrospray Ionisation-High Resolution Mass Spectrometry (FIA-HESI-HRMS). Data (total ion chromatograms) were obtained and used by Quintanilla-Casas et al. (Food Control, 2021, 123: 107851). Data correspond to relative abundances obtained for each mass signal that agreed with single positive charged sodium molecular ions and that could match with a triacylglycerol elemental formula (mass tolerance error set at 5ppm; molecular formulae calculation performed with Xcalibur 4.1. (Thermo Fisher Scientific, Bremen, Germany). This data base includes samples used in the study that were obtained by the OLEUM consortium. Samples included genuine olive oils, as well as Taylor-made adulterations blending genuine olive oils with other vegetable oils as adulterants (sunflower oli; soy oil; high oleic sunflower oil; avocado oil (refined and virgin); hazelnut oil (refined and virgin)). Blind samples are also included in the data base. Partial Least Squares-Discriminant Analysis (PLS-DA) was applied to these data to develop two independent binary models that discriminated between (i) genuine oils and blends with ≥2% of HL adulterants, and (ii) genuine oils and blends with ≥5% of HO adulterants, as described in Quintanilla-Casas et al., 2021.

Data have been obtained at Universitat de Barcelona in the context of the project OLEUM “Advanced solutions for assuring authenticity and quality of olive oil at global scale”, funded by the European Commission within the Horizon 2020 Program (2014–2020, grant agreement no. 635690) and the project AUTENFOOD, funded by ACCIÓ-Generalitat de Catalunya (Spain) and the European Union through the Programa Operatiu FEDER Catalunya 2014–2020 (Ref COMRDI-15-1-0035). The study was also supported by the Ministerio de Ciencia, Innovación y Universidades (MICINN) from Spain through the Juan de la Cierva and Ramon y Cajal programs (JCI-2012_13412 and RYC-2017-23601), and by the Ministerio de Educación, Cultura y Deporte (MECD) from Spain through the FPU pre-doctoral program (FPU16/01744).

Identifier
DOI https://doi.org/10.34810/data34
Related Identifier IsCitedBy https://doi.org/10.1016/j.foodcont.2020.107851
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data34
Provenance
Creator Quintanilla-Casas, Beatriz (ORCID: 0000-0002-8865-1582.); Strocchi, Giulia; Bustamante Alonso, Julen (ORCID: 0000-0001-8079-8961.); Torres-Cobos, Berta; Guardiola Ibarz, Francesc ORCID logo; Moreda, Wenceslao ORCID logo; Martínez-Rivas, José Manuel; Valli, Enrico; Bendini, Alessandra (ORCID: 0000-0002-6515-5519.); Gallina Toschi, Tullia ORCID logo; Tres Oliver, Alba ORCID logo; Vichi, Stefania ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Tres Oliver, Alba
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/data34
OpenAccess true
Contact Tres Oliver, Alba (Universitat de Barcelona)
Representation
Resource Type Experimental data; Dataset
Format text/plain; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 1317; 1823570
Version 1.1
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Chemistry; Life Sciences; Natural Sciences