Evidence map›Paper›PMID 31013836›Full record

ArticleMolecules (Basel, Switzerland)2019

Multidisciplinary Approach to Characterizing the Fingerprint of Italian EVOO.

Marco Abbatangelo, Estefanía Núñez-Carmona, Giorgio Duina, Veronica Sberveglieri

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Evolution of Flavors in Extra Virgin Olive Oil Shelf-Life.Antioxidants (Basel, Switzerland) · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Marco AbbatangeloDepartment of Information Engineering, University of Brescia, Brescia, via Branze, 38, 25123 Brescia, BS, Italy. m.abbatangelo@unibs.it.
Estefanía Núñez-CarmonaCNR-IBBR, Institute of Bioscience and Bioresources, via Madonna del Piano, 10, 50019 Sesto Fiorentino, FI, Italy. giorgio.duina@unibs.it.
Giorgio DuinaDepartment of Information Engineering, University of Brescia, Brescia, via Branze, 38, 25123 Brescia, BS, Italy. estefania.nunezcarmona@ibbr.cnr.it.
Veronica SberveglieriCNR-IBBR, Institute of Bioscience and Bioresources, via Madonna del Piano, 10, 50019 Sesto Fiorentino, FI, Italy. veronica.sberveglieri@ibbr.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extra virgin olive oil (EVOO) is characterized by its aroma and other sensory attributes. These are determined by the geographical origin of the oil, extraction process, place of cultivation, soil, tree varieties, and storage conditions. In the present work, an array of metal oxide gas sensors (called S3), in combination with the SPME-GC-MS technique, was applied to the discrimination of different types of olive oil (phase 1) and to the identification of four varieties of Garda PDO extra virgin olive oils coming from west and east shores of Lake Garda (phase 2). The chemical analysis method involving SPME-GC-MS provided a complete volatile component of the extra virgin olive oils that was used to relate to the S3 multisensory responses. Furthermore, principal component analysis (PCA) and k-Nearest Neighbors (k-NN) analysis were carried out on the set of data acquired from the sensor array to determine the best sensors for these tasks and to assess the capability of the system to identify various olive oil samples. k-NN classification rates were found to be 94.3% and 94.7% in the two phases, respectively. These first results are encouraging and show a good capability of the S3 instrument to distinguish different oil samples.

Indexed as

Gas Chromatography-Mass SpectrometryItalyOdorantsOlive OilOlive OilEVOOGC-MS-SPMEk-NN.nanowire gas sensorsPCAsensors array

Identifiers

PMID31013836
PMCPMC6515353

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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.