Total Ion Chromatograms obtained by SPME-GC-MS of volatile fingerprint of olive oil samples (N=174)

DOI

Dataset containing SPME-GC-MS raw analytical data (total ion chromatograms, not aligned) obtained and used by Quintanilla-Casas et al. (LWT - Food Science and Technology 121: 108936). Data correspond to the volatile fingerprint of 174 authentic and traceable virgin olive oil samples previously graded by six official sensory panels (data from 2 outlier samples are not included) in the framework of OLEUM project (EC H2020 Programme 2014–2020). Briefly, data correspond to SPME-GC-MS scan intensities of the total ion chromatogram at each retention time from 5.5 to 61.96 min. These data were aligned and used under a fingerprinting approach by Quintanilla-Casas et al. to develop a classification model (PLS-DA approach) to verify the sensory quality of virgin olive oils, and it was suggested as an instrumental method to support sensory panels.

Identifier
DOI https://doi.org/10.34810/data95
Related Identifier https://doi.org/10.1016/j.lwt.2019.108936
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data95
Provenance
Creator Quintanilla-Casas, Beatriz ; Bustamante Alonso, Julen; Guardiola Ibarz, Francesc ; García-González, Diego Luis; Barbier, Sara; Bendini, Alessandra; Gallina Toschi, Tullia; Vichi, S. (Stefania) ; Tres Oliver, Alba
Publisher CORA.Repositori de Dades de Recerca
Contributor Tres, Alba
Publication Year 2021
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Tres, Alba (Universitat de Barcelona)
Representation
Resource Type Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 9469076
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Chemistry; Life Sciences; Natural Sciences