Resultados totales (Incluyendo duplicados): 5
Encontrada(s) 1 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
Dataset. 2021

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

  • Quintanilla-Casas, Beatriz
  • Bertin, Sofia
  • Leik, Kerstin
  • Bustamante Alonso, Julen
  • Guardiola Ibarz, Francesc
  • Valli, Enrico
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Tres Oliver, Alba
  • Vichi, S. (Stefania)
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.

Proyecto: //
DOI: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
HANDLE: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
PMID: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102
Ver en: https://doi.org/10.34810/data102
CORA.Repositori de Dades de Recerca
doi:10.34810/data102

CORA.Repositori de Dades de Recerca
doi:10.34810/data34
Dataset. 2021

TRIACYLGLYCEROL PROFILING DATA OF OLIVE OIL SAMPLES OBTAINED BY FLOW INJECTION ANALYSIS-HEATED ELECTROSPRAY IONISATION-HIGH RESOLUTION MASS SPECTROMETRY (FIA-HESI-HRMS)

  • Quintanilla-Casas, Beatriz
  • Strocchi, Giulia
  • Bustamante Alonso, Julen
  • Torres-Cobos, Berta
  • Guardiola Ibarz, Francesc
  • Moreda, Wenceslao
  • Martínez-Rivas, José Manuel
  • Valli, Enrico
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Tres Oliver, Alba
  • Vichi, Stefania
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.

Proyecto: //
DOI: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34
HANDLE: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34
PMID: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34
Ver en: https://doi.org/10.34810/data34
CORA.Repositori de Dades de Recerca
doi:10.34810/data34

CORA.Repositori de Dades de Recerca
doi:10.34810/data95
Dataset. 2021

TOTAL ION CHROMATOGRAMS OBTAINED BY SPME-GC-MS OF VOLATILE FINGERPRINT OF OLIVE OIL SAMPLES (N=174)

  • 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
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.

Proyecto: //
DOI: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95
HANDLE: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95
PMID: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95
Ver en: https://doi.org/10.34810/data95
CORA.Repositori de Dades de Recerca
doi:10.34810/data95

Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
Dataset. 2020

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

  • Quintanilla-Casas, Beatriz
  • Bertin, Sofia
  • Leik, Kerstin
  • Bustamante Alonso, Julen
  • Guardiola Ibarz, Francesc
  • Valli, Enrico
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Tres Oliver, Alba
  • Vichi, S. (Stefania)
Dades de l'article publicat a la revista Food Chemistry, Volume 307, 1 March 2020, 125556. El podeu consultar a http://hdl.handle.net/2445/143358, 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., SPME-GC-MS data have been obtained by researchers in the OLEUM project This work was developed 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). The information and views set out in this article are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. 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).

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
HANDLE: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
PMID: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
Ver en: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597

Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
Dataset. 2020

TOTAL ION CHROMATOGRAMS OBTAINED BY SPME-GC-MS OF VOLATILE FINGERPRINT OF OLIVE OIL SAMPLES

  • 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
Dades primàries de l'article publicat a la revista Food Science and Technology 121: 108936, 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., SPME-GC-MS data have been obtained by researchers in the OLEUM project This work was developed 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). The information and views set out in this article are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. 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).

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
HANDLE: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
PMID: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
Ver en: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997

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