Evidence map›Paper›PMID 41516710›Full record

ArticleSensors (Basel, Switzerland)2026

MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO).

Elisabetta Poeta, Estefanía Núñez-Carmona, Veronica Sberveglieri, Alejandro Bernal, Jesús Lozano, Ramiro Sánchez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Elisabetta PoetaDepartment of Life Sciences, University of Modena and Reggio Emilia, Via J.F. Kennedy, 17/i, 42124 Reggio Emilia, RE, Italy.
Estefanía Núñez-CarmonaInstitute of Bioscience and Bioresources (CNR-IBBR), National Research Council URT Reggio Emilia, Via J.F. Kennedy, 17/i, 42124 Reggio Emilia, RE, Italy.ORCID 0000-0002-4621-0658
Veronica SberveglieriInstitute of Bioscience and Bioresources (CNR-IBBR), National Research Council URT Reggio Emilia, Via J.F. Kennedy, 17/i, 42124 Reggio Emilia, RE, Italy.ORCID 0000-0002-5991-9391
Alejandro BernalIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.
Jesús LozanoIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0003-0905-9546
Ramiro SánchezCentro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), 06007 Badajoz, Spain.ORCID 0000-0003-0036-8561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) Extra Virgin Olive Oil (EVOO) are premium products that undergo strict quality controls, must comply with specific production regulations, and generally have a higher market price. These characteristics make them particularly vulnerable to economically motivated adulteration. In this study, the adulteration of PDO EVOO with Olive Pomace Oil (POO) and Olive Oil (OO) was investigated through a combined analytical approach. A traditional technique, gas chromatography-mass spectrometry (GC-MS) combined with solid-phase microextraction (SPME), was employed alongside an innovative method based on an electronic nose equipped with metal oxide semiconductor (MOX) sensors. GC-MS analysis enabled the identification of characteristic volatile compounds, providing a detailed chemical fingerprint of the different oil samples. Concurrently, the MOX sensor array successfully detected variations in the volatile profiles released by the adulterated oils, demonstrating its potential as a rapid and cost-effective screening tool. The complementary use of both techniques highlighted the reliability of MOX sensors in differentiating authentic PDO EVOO from adulterated samples and underscored their applicability in routine quality control and fraud prevention strategies.

Indexed as

Food ContaminationMetalsOlive OilElectronic NoseGas Chromatography-Mass SpectrometryOxidesPlant OilsSemiconductorsSolid Phase MicroextractionMetalsOlive OilOxidesPlant Oilscertified productselectronic nosefood fraudinnovative technologyIoT applicationsMOX sensors

Identifiers

PMID41516710
PMCPMC12788219

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.