Evidence map›Paper›PMID 34792659›Full record

ArticleEnvironmental monitoring and assessment2021

Determination of lead ions in fish and oyster samples using a nano-adsorbent of functionalized magnetic graphene oxide nanosheets-humic acid and the flame atomic absorption technique.

Manijeh Yekrangi, Ali Benvidi, Shahriar Jahanbani, Hamid R Zare, Maryam Banaei

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Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

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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, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Manijeh YekrangiDepartment of Chemistry, Faculty of Science, Yazd University, Yazd, Iran.
Ali BenvidiDepartment of Chemistry, Faculty of Science, Yazd University, Yazd, Iran. abenvidi@yazd.ac.ir.
Shahriar JahanbaniDepartment of Chemistry, Faculty of Science, Yazd University, Yazd, Iran.
Hamid R ZareDepartment of Chemistry, Faculty of Science, Yazd University, Yazd, Iran.
Maryam BanaeiDepartment of Chemistry, Faculty of Science, Yazd University, Yazd, Iran.
Yazd University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims at the functionalization of magnetic graphene oxide nanosheets and the binding of humic acid as a lead complex ligand. Graphene oxide nanosheets possess a large surface area and various carboxylic acid groups which can be activated easily by activating agents. Therefore, they are suitable to be used for the extraction of heavy metals. To have a better process of extracting lead ions, magnetic graphene oxide was used in this research. Humic acid, as a lead metal complex agent, has an amine functional group which can be bound to modified graphene oxide from one side. The process of constructing the nano-adsorbent proposed for the preconcentration of lead ions as well as its characterization was studied by infrared spectroscopy (IR), ultraviolet-visible spectroscopy (UV-visible), field emission scanning electron microscopy (FESEM), and vibrating sample magnetometry (VSM). The designed nano-adsorbent was tested to measure lead ions in simulated and real samples of sea water, fish, and oysters. The detection limit obtained in the simulated samples was 0.07 μg/L, and the linear range was 0.2-12 μg/L. The apparatus used to measure the ions was a flame atomic absorption device. In the analysis of the real samples, the values obtained through flame atomic absorption were compared with those obtained through furnace atomic absorption. The proposed technique is advantageous due to being cheap, precise, and sensitive for the trace measurement of lead ions.

Indexed as

GraphiteOstreidaeAnimalsEnvironmental MonitoringHumic SubstancesIonsLeadMagnetic PhenomenaSolid Phase Extractiongraphene oxideGraphiteHumic SubstancesIonsLeadFish and oyster real samplesHeavy metalHumic acid ligandModified graphene oxideTrace measurement

Identifiers

PMID34792659
OpenAlexW3212597943

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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.