Evidence map›Paper›PMID 34441585›Full record

ArticleFoods (Basel, Switzerland)2021

Study on Extra Virgin Olive Oil: Quality Evaluation by Anti-Radical Activity, Color Analysis, and Polyphenolic HPLC-DAD Analysis.

Francesco Cairone, Stefania Petralito, Luigi Scipione, Stefania Cesa

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. In-Depth Chemical Characterization ofFoods (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. Article
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.

Francesco CaironeDepartment of Drug Chemistry and Technology, "La Sapienza" University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.ORCID 0000-0002-9618-1410
Stefania PetralitoDepartment of Drug Chemistry and Technology, "La Sapienza" University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.
Luigi ScipioneDepartment of Drug Chemistry and Technology, "La Sapienza" University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.ORCID 0000-0002-2006-7005
Stefania CesaDepartment of Drug Chemistry and Technology, "La Sapienza" University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.ORCID 0000-0002-8649-0017

Funding

"Sapienza" University of Rome, Ateneo 2018 RP1181643691A145
6 · The paper itself

Abstract

This study aimed to evaluate the quality of oils available on the Italian market and purchased directly from the mill or in the supermarket and labelled as extra virgin olive oils (EVOOs). As one of the most relevant foods of the Mediterranean diet and recognized as a functional food if regularly consumed, the quality of EVOO needs to be continuously monitored. Different analytical protocols were applied. The spectrophotometric parameters used to classify the extra virgin olive oils-a CIEL*a*b*color analysis and the quali-quantitative analysis of bioactive molecules by HPLC-DAD detection and the anti-radical activity, by the DPPH method, were evaluated and compared among the samples. This study confirmed a very high variation in terms of quality, both in oils purchased directly from mills throughout Italy, but also in oils labeled as "100% of Italian origin". Due to the high variability reconfirmed in the monitored samples, it is necessary to carry out a capillary control, not limited only to the parameters indexed by law. A useful complementary method could be represented by reflectance colorimetric analysis.

Indexed as

carotenoidsextra virgin olive oilsHPLC-DAD analysispolyphenolsquality evaluationreflectance colorimetryspectrophotometric analysis

Identifiers

PMID34441585
PMCPMC8392269

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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.