Evidence map›Paper›PMID 34014664›Full record

ArticleJournal of agricultural and food chemistry2021

Sensitivity of Proton NMR Relaxation and Proton NMR Diffusion Measurements to Olive Oil Adulterations with Vegetable Oils.

Donatella Ancora, Jerneja Milavec, Anton Gradišek, Mario Cifelli, Ana Sepe, Tomaž Apih, Boštjan Zalar, Valentina Domenici

Open access · hybridAbstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecules (Basel, Switzerland) · 2022
    Article
  4. Article
  5. 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

8 authors at 2 institutions in 2 countries.

Donatella AncoraDipartimento di Chimica e Chimica Industriale, Università di Pisa, via Moruzzi, 3, 56124 Pisa, Italy.
Jerneja MilavecDepartment of Condensed Matter Physics, Jožef Stefan Institute, 39 Jamova Cesta, SI-1000, Ljubljana, Slovenia.
Anton GradišekDepartment of Condensed Matter Physics, Jožef Stefan Institute, 39 Jamova Cesta, SI-1000, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-6480-9587
Mario CifelliDipartimento di Chimica e Chimica Industriale, Università di Pisa, via Moruzzi, 3, 56124 Pisa, Italy.
Ana SepeDepartment of Condensed Matter Physics, Jožef Stefan Institute, 39 Jamova Cesta, SI-1000, Ljubljana, Slovenia.
Tomaž ApihDepartment of Condensed Matter Physics, Jožef Stefan Institute, 39 Jamova Cesta, SI-1000, Ljubljana, Slovenia.
Boštjan ZalarDepartment of Condensed Matter Physics, Jožef Stefan Institute, 39 Jamova Cesta, SI-1000, Ljubljana, Slovenia.
Valentina DomeniciDipartimento di Chimica e Chimica Industriale, Università di Pisa, via Moruzzi, 3, 56124 Pisa, Italy.ORCID https://orcid.org/0000-0003-3155-8384
Jožef Stefan Institute · SIUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Olive oils and, in particular, extra-virgin olive oils (EVOOs) are one of the most frauded food. Among the different adulterations of EVOOs, the mixture of high-quality olive oils with vegetable oils is one of the most common in the market. The need for fast and cheap techniques able to detect extra-virgin olive oil adulterations was the main motivation for the present research work based on

Indexed as

Plant OilsProtonsDiffusionMagnetic Resonance SpectroscopyOlive OilOlive OilPlant OilsProtons1H NMRadulterationdiffusionDOSYdynamicsolive oilT1T2vegetable oil

Identifiers

PMID34014664
PMCPMC8532151
OpenAlexW3160178154

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.