Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
DIGITAL.CSIC
Dataset . 2021 . Peer-reviewed
Data sources: DIGITAL.CSIC
DIGITAL.CSIC
Dataset . 2021
Data sources: Datacite
versions View all 3 versions
addClaim

Legal blends between olive and sunflower oils (2021)

Authors: Gómez-Coca, R. B.; Pérez Camino, María del Carmen; Moreda, Wenceslao;

Legal blends between olive and sunflower oils (2021)

Abstract

These data were generated in our lab, with the help of several laboratory assistants and master students, within the OLEUM project (http://www.oleumproject.eu): ‘Advanced solutions for assuring the authenticity and quality of olive oil at a global scale’ . The general objectives of the Project focus on olive oil fraud detection in a way that it improves the existing analytical methods and has developed new strategies of analysis. It has been organized in seven work packages distributed in a number of tasks. This work is within Work Package 4 (‘Analytical solution addressing olive oil authentication issues’), and it concentrates on the study of legal blends between olive oils and other vegetable oils. The notion of legal blends comes from the authorization of the European Commission to market blends of olive oil with other vegetable oils and to emphasize the presence of olive oil in a place other than in the ingredient list, only if it accounts for at least 50 % of the blend (Commission Implementing Regulation (EU) No 29/2012 of 13 January 2012 on marketing standards for olive oil. Official Journal of the European Union L12, 14-21). This evinced a key weakness in the olive oil control chain: The lack of analytical methods to demonstrate the amount of such oil in declared mixtures. In this way, it was the purpose of this work to look for an analytical strategy that helped us to confirm if the amount of olive oil in a label-claimed blend was at least 50 %. In order to do that we used two of the most representative seed oils: normal type and high oleic sunflower oils (NTSO and HOSO, respectively), mixed on the one hand with olive oil (OO), and on the other hand with extra virgin olive oil (EVOO), at 60:40, 50:50, and 40:60 v/v proportions. We demonstrated that there was no need of developing new methods of analysis but that it was enough to combine four of the official purity parameters described in the legislation (International Olive Council (2016). Trade standard applying to olive oils and olive pomace oils. COI/T.15/NC No 3/Rev. 11, 1-17). Those parameters were: triacylglycerols (TAG), acyclic saturated hydrocarbons (SHC), free sterols (FS), and tocopherols (TCPH). They were also organized them in the form of decisional trees in a way that the blend who claimed to be composed of at least 50 % olive oil must comply not just with one but with the four of them (Food Chemistry, volume 315, 15 June 2020, 126235). Samples were provided by Fera (Fera Science Ltd, Sand Hutton, York)

Excel file consisting of 12 sheets in which the composition of a number of olive oil and sunflower oil samples and their corresponding mixtures are given. Data show triacylglycerol, sterol, tocopherol, and linear aliphatic hydrocarbon contents. It also includes the five resulting tables published as part of Food Chemistry, volume 315, 15 June 2020, 126235. Data must be read and interpret within the context of such publication.

The Project has received funding from the European Commission within the Horizon 2020 Program (2014–2020), GA no. 635690

Peer reviewed

Country
Spain
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 82
    download downloads 43
  • 82
    views
    43
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
82
43
Funded by
Related to Research communities