Evidence map›Paper›PMID 29561820›Full record

ArticleFoods (Basel, Switzerland)2018

Authentication and Quantitation of Fraud in Extra Virgin Olive Oils Based on HPLC-UV Fingerprinting and Multivariate Calibration.

Núria Carranco, Mireia Farrés-Cebrián, Javier Saurina, Oscar Núñez

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Detection of lard adulteration in 3 kinds of vegetable oils by liquid chromatography-mass spectrometry with porous graphite carbon column.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Núria CarrancoDepartment of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain. nuria.carranco.cruz@gmail.com.
Mireia Farrés-CebriánDepartment of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain. mirefarres28@gmail.com.
Javier SaurinaDepartment of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain. xavi.saurina@ub.edu.
Oscar NúñezDepartment of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franqués, 1-11, E08028 Barcelona, Spain. oscar.nunez@ub.edu.ORCID 0000-0001-5850-8972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High performance liquid chromatography method with ultra-violet detection (HPLC-UV) fingerprinting was applied for the analysis and characterization of olive oils, and was performed using a Zorbax Eclipse XDB-C8 reversed-phase column under gradient elution, employing 0.1% formic acid aqueous solution and methanol as mobile phase. More than 130 edible oils, including monovarietal extra-virgin olive oils (EVOOs) and other vegetable oils, were analyzed. Principal component analysis results showed a noticeable discrimination between olive oils and other vegetable oils using raw HPLC-UV chromatographic profiles as data descriptors. However, selected HPLC-UV chromatographic time-window segments were necessary to achieve discrimination among monovarietal EVOOs. Partial least square (PLS) regression was employed to tackle olive oil authentication of Arbequina EVOO adulterated with Picual EVOO, a refined olive oil, and sunflower oil. Highly satisfactory results were obtained after PLS analysis, with overall errors in the quantitation of adulteration in the Arbequina EVOO (minimum 2.5% adulterant) below 2.9%.

Indexed as

food authenticationfraud quantitationhigh performance liquid chromatographymultivariate calibrationolive oilsUV detection

Identifiers

PMID29561820
PMCPMC5920409

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.