Evidence map›Paper›PMID 37642810›Full record

ArticleBiological trace element research2024

Determination of Trace, Micro and Macro Elemental Concentration of Eritrean Honeys.

Nikolett Czipa, Béla Kovács, Loránd Alexa, Mehari Gebreyesus

Open access · hybridAbstract read
In one paragraph

Article in Biological trace element research, 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
0.9field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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 at 2 institutions in 2 countries.

Nikolett CzipaInsitute of Food Science, University of Debrecen, Debrecen, Hungary. nikolettczipa@gmail.com.
Béla KovácsInsitute of Food Science, University of Debrecen, Debrecen, Hungary.
Loránd AlexaInsitute of Food Science, University of Debrecen, Debrecen, Hungary.
Mehari GebreyesusDepartment of Agricultural Engineering, Mainefhi, College of Engineering and Technology, May-Nefhi, Eritrea.
University of Debrecen · HUAdvanced Engineering (Czechia) · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study macro, micro and trace elemental concentrations were measured in Eritrean acacia honey samples by Inductively Coupled Plasma Optical Emission Spectrometry (Al, B, C, K, Mg, Na, P and S) and Inductively Coupled Plasma Mass Spectrometry (As, Ba, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, Sr and Zn). The concentration of essential elements in the examined Eritrean acacia honeys decreased in the following order: K > P > Ca > Mg > Fe > Zn > Mn > Cu > Sr > Mo. Independent samples T test was used to determine the statistically verified differences between the two regions, but there was none; however there were remarkable differences among the measured element contents of specific honey samples. Elemental concentrations of Eritrean honeys are influenced by the characteristics of the collecting area (e.g. elevation, agricultural activities, water resources).Our samples showed low essential elemental concentration; therefore the consumption of these honeys does not contribute significantly to the nutrition reference value (NRV) (around 1% of NRV). Toxic elemental concentrations were also low; thus the calculated estimated daily intakes were much lower than the tolerable daily intakes. Consumption of these honeys presents no risk for the human body.

Indexed as

HoneyTrace ElementsAgricultureEritreaHumansSpectrum AnalysisTrace ElementsAcacia honeyElement contentEritreaICP

Identifiers

PMID37642810
PMCPMC10954917
OpenAlexW4386252743

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.