Evidence map›Paper›PMID 39599429›Full record

ArticlePlants (Basel, Switzerland)2024

Assessing Olive Oil Quality Using Different DNA-Based Methods.

Giovanna Moscato, Savino Bonavita, Teresa Maria Rosaria Regina

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Giovanna MoscatoDipartimento di Biologia, Ecologia e Scienze della Terra (DiBEST), Università della Calabria, Via Ponte P. Bucci, 87036 Arcavacata di Rende, Italy.
Savino BonavitaLaboratorio Dolciaria Monardo Srl, Località Carromonaco, 89831 Soriano Calabro, Italy.
Teresa Maria Rosaria ReginaDipartimento di Biologia, Ecologia e Scienze della Terra (DiBEST), Università della Calabria, Via Ponte P. Bucci, 87036 Arcavacata di Rende, Italy.

Funding

Università della Calabria and the Italian Ministero dell'Istruzione, Università e Ricerca (M.I.U.R.). ex60%
6 · The paper itself

Abstract

Olive oil is appreciated worldwide for its unique nutritional and organoleptic properties. It is rich in unsaturated fatty acids and antioxidants, which are well-known for their health benefits. The qualitative characteristics of olive oil can be adversely affected by various biotic and abiotic factors. Particularly, microbial pathogens, such as mold fungi, can cause the deterioration of the oil and, thus, be a serious risk to consumer health. In this study, the effectiveness of DNA-based methods, i.e., endpoint PCR, Real-Time PCR (RT-PCR), and loop-mediated isothermal amplification (LAMP), all based on the ITS2-28S region, were used to evaluate the fungal contamination of samples of extra virgin olive oil. All the DNA techniques were able to detect, albeit at different levels, fungal infections affecting some of the basic quality parameters of the olive oils analyzed. However, compared to endpoint PCR and/or RT-PCR, the LAMP assay greatly simplified and accelerated the identification of pathogenic mold in the oil samples. This may encourage the olive oil industry to adopt this method in order to offer the consumer an oil with specific health parameters and therefore guarantee the safety and quality of this precious food product.

Indexed as

endpoint PCRLAMPmold fungiolive oilreal time PCR

Identifiers

PMID39599429
PMCPMC11598648

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.