Evidence map›Paper›PMID 35010209›Full record

ArticleFoods (Basel, Switzerland)2021

Trace Elements Analysis of Tunisian and European Extra Virgin Olive Oils by ICP-MS and Chemometrics for Geographical Discrimination.

Emna G Nasr, Ekaterina N Epova, Alberto de Diego, Radhia Souissi, Mohamed Hammami, Houyem Abderrazak, Olivier F X Donard

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Multi-Element Analysis and Origin Discrimination ofMolecules (Basel, Switzerland) · 2022
    Article
  9. Review
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

7 authors.

Emna G NasrInstitut des Sciences Analytiques et de Physicochimie Pour l'Environnement et les Matériaux, Université de Pau et des Pays de l'Adour, 64000 Pau, France.
Ekaterina N EpovaAdvanced Isotopic Analysis, Hélioparc, 64000 Pau, France.
Alberto de DiegoDepartment of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country, 48080 Bilbao, Spain.
Radhia SouissiLaboratoire des Matériaux Utiles, Institut National de Recherche et d'Analyse Physicochimique Technopole de Sidi Thabet, Ariana 2020, Tunisia.
Mohamed HammamiLaboratoire des Matériaux Utiles, Institut National de Recherche et d'Analyse Physicochimique Technopole de Sidi Thabet, Ariana 2020, Tunisia.
Houyem AbderrazakLaboratoire des Matériaux Utiles, Institut National de Recherche et d'Analyse Physicochimique Technopole de Sidi Thabet, Ariana 2020, Tunisia.
Olivier F X DonardInstitut des Sciences Analytiques et de Physicochimie Pour l'Environnement et les Matériaux, Université de Pau et des Pays de l'Adour, 64000 Pau, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the levels of trace elements in olive oils from different locations and their use for geographical authentication. Concentrations of seventeen elements were determined in a total of 42 olive oils from Tunisia, Spain (Basque country), and southern France, and in nine soil samples from Tunisia by quadrupole inductively plasma mass spectrometry. The compilation of appropriate techniques integrated into the analytical procedure achieved a precision (RSD) between 2% and 15% and low limits of detection (between 0.0002 and 0.313 µg kg

Indexed as

geographical discriminationinductively plasma mass spectrometryolive oilprincipal component analysissoiltrace elements

Identifiers

PMID35010209
PMCPMC8750534

What OpenQuestion holds

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Registered trials

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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.