Evidence map›Paper›PMID 33805555›Full record

ArticleFoods (Basel, Switzerland)2021

Discrimination of Tunisian Honey by Mineral and Trace Element Chemometrics Profiling.

Giuseppa Di Bella, Angela Giorgia Potortì, Asma Beltifa, Hedi Ben Mansour, Vincenzo Nava, Vincenzo Lo Turco

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Giuseppa Di BellaBioMorf Department, University of Messina, Viale Annunziata, Polo Universitario, 98168 Messina, Italy.ORCID 0000-0001-8103-6942
Angela Giorgia PotortìBioMorf Department, University of Messina, Viale Annunziata, Polo Universitario, 98168 Messina, Italy.ORCID 0000-0002-8608-2435
Asma BeltifaAPAE Higher Institute of Applied Sciences and Technology, University of Monastir, 5100 Mahdia, Tunisia.
Hedi Ben MansourAPAE Higher Institute of Applied Sciences and Technology, University of Monastir, 5100 Mahdia, Tunisia.ORCID 0000-0001-7936-9828
Vincenzo NavaBioMorf Department, University of Messina, Viale Annunziata, Polo Universitario, 98168 Messina, Italy.ORCID 0000-0001-5966-4467
Vincenzo Lo TurcoBioMorf Department, University of Messina, Viale Annunziata, Polo Universitario, 98168 Messina, Italy.ORCID 0000-0001-6633-6920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentrations of 19 chemical elements have been determined in 36 honey samples of different botanical (wildflower, eucalyptus, eucalyptus red flowers, prickly pears, lemon blossom, thyme, almond, rosemary and jujube) honeys from the three geographical areas of Tunisia (Sidi Bouzid, Nabeul and Sfax) using inductively coupled plasma mass spectrometry (ICP-MS). The aim of this work was to use the multielement analysis together with chemometric tools to verify the botanical and the geographical origin of honeys. The correlation on the basis of mineral element content between the honey samples and their botanical and/or geographical origins was in some measure achieved. The data collected on the samples were also used to evaluate the nutritional quality and the potential health risks associated with elements via consumption of the Tunisian honey. According to the results obtained, the intake of essential elements was small, and the potential health risks associated with toxic or potentially toxic elements via consumption of this food were overall insignificant.

Indexed as

chemometric analysisdietary exposurehoneyICP-MSmineral elementstrace elementsTunisia

Identifiers

PMID33805555
PMCPMC8065793

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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.