Evidence map›Paper›PMID 38676183›Full record

ArticleSensors (Basel, Switzerland)2024

Influence of the Degree of Fruitiness on the Quality Assessment of Virgin Olive Oils Using Electronic Nose Technology.

Javiera P Navarro Soto, Sergio Illana Rico, Diego M Martínez Gila, Silvia Satorres Martínez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Javiera P Navarro SotoSystem Engineering and Automation Department, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0003-0271-7112
Sergio Illana RicoSystem Engineering and Automation Department, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0003-3649-915X
Diego M Martínez GilaSystem Engineering and Automation Department, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0002-4150-5967
Silvia Satorres MartínezSystem Engineering and Automation Department, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0003-0154-4125

Funding

Ministerio de Ciencia e Innovación PDC2022-133995-I00Ministerio de Ciencia e Innovación PID2019-110291RB-I00
6 · The paper itself

Abstract

The electronic nose is a non-invasive technology suitable for the analysis of edible oils. One of the practical applications in the olive oil industry is the classification of virgin oils based on their sensory characteristics. Notwithstanding that this technology, at this stage, cannot realistically replace the currently used methods, it is fruitful for a preliminary analysis of the oil quality. This work makes use of this technology to develop a methodology for the detection of the threshold by which an extra-virgin olive oil (EVOO) drops into the virgin olive oil (VOO) category. With this aim, two features were studied: the level of fruitiness level and the type of defect. The results showed a greater influence of the level of fruitiness than the type of defect in the determination of the detection threshold. Furthermore, three of the sensors (S2, S7 and S9) of the commercial e-nose PEN3 were identified as the most discriminating in the classification between EVOO and VOO oils.

Indexed as

Electronic NoseOlive OilFruitOlive Oile-noseEVOOfruitinessquality assessmentVOO

Identifiers

PMID38676183
PMCPMC11053873

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.