Evidence map›Paper›PMID 34828971›Full record

ArticleFoods (Basel, Switzerland)2021

Chemical Content of Five Molluscan Bivalve Species Collected from South Korea: Multivariate Study and Safety Evaluation.

Jelena Mutić, Vesna Jovanović, Liesbeth Jacxsens, Jannes Tondeleir, Petar Ristivojević, Sladjana Djurdjić, Andreja Rajković, Tanja Ćirković Veličković

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. 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

8 authors.

Jelena MutićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia.ORCID 0000-0002-0545-1578
Vesna JovanovićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia.
Liesbeth JacxsensDepartment of Food Technology, Safety and Health, Faculty of BioScience Engineering, Ghent University, B-9000 Ghent, Belgium.
Jannes TondeleirDepartment of Food Technology, Safety and Health, Faculty of BioScience Engineering, Ghent University, B-9000 Ghent, Belgium.
Petar RistivojevićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia.
Sladjana DjurdjićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia.
Andreja RajkovićDepartment of Food Technology, Safety and Health, Faculty of BioScience Engineering, Ghent University, B-9000 Ghent, Belgium.ORCID 0000-0003-1062-0564
Tanja Ćirković VeličkovićFaculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia.ORCID 0000-0003-2559-5234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bivalves are a good source of nutrients but also a potential source of environmental contaminants, which could pose a risk for consumers. The aims of this study were: the determination of 16 elements by ICP-MS in 48 samples of five bivalve species purchased from market in Korea; the identification of elements useful for species classification using multivariate analyses; and the benefit-risk evaluation associated to the consumption of these bivalves. The highest difference among content of elements between species was found for Cd, Mn, Ni, Zn, and Fe. Partial last squares discriminant analysis revealed elements with a VIP score >1 which were considered as the most relevant for explaining certain species. As, Cd, Co, and Ni were found as taxonomical markers of

Indexed as

clamICP MSmetal exposure assessmentmultivariate analysisscallop

Identifiers

PMID34828971
PMCPMC8623076

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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.