Evidence map›Paper›PMID 38420384›Full record

ArticleHeliyon2024

Electrochemical sensor based on gum Arabic nanoparticles for rapid and in-situ detection of different heavy metals in real samples.

Manahil Babiker Elamin, Amani Chrouda, Shazalia Mahmoud Ahmed Ali, Laila M Alhaidari, Mahjoub Jabli, Rahaf Mutlaq Alrouqi, Nicole Jaffrezic Renault

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 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
2.9field-weighted citation impact, top 8% 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, 17 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

7 authors at 2 institutions in 2 countries.

Manahil Babiker ElaminDepartment of Chemistry, Faculty of Science Al-Zulfi, Majmaah University, 11952, Saudi Arabia.
Amani ChroudaDepartment of Chemistry, Faculty of Science Al-Zulfi, Majmaah University, 11952, Saudi Arabia.
Shazalia Mahmoud Ahmed AliDepartment of Chemistry, Faculty of Science Al-Zulfi, Majmaah University, 11952, Saudi Arabia.
Laila M AlhaidariDepartment of Chemistry, Faculty of Science Al-Zulfi, Majmaah University, 11952, Saudi Arabia.
Mahjoub JabliDepartment of Chemistry, Faculty of Science Al-Zulfi, Majmaah University, 11952, Saudi Arabia.
Rahaf Mutlaq AlrouqiDepartment of Chemistry, Faculty of Science Al-Zulfi, Majmaah University, 11952, Saudi Arabia.
Nicole Jaffrezic RenaultInstitute of Analytical Sciences, UMR CNRS-UCBL-ENS 5280, 5 Rue la Doua, 69100, Villeurbanne, CEDEX, France.
Majmaah University · SAUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The key solution to combat trace metal pollution and keep the environment, ecosystem, animals, and humans safe is earlier and rapid trace metal detection. For all these reasons, we propose in this work the design of a simple electrochemical sensor functionalized with green nanoparticles for electrochemical detection of the fourth most dangerous heavy metal ions namely copper, zinc, lead, and mercury. The green nanoparticles are fabricated by a one-step, consisting of reducing platinum nanoparticles by a natural gum Arabic polymer. To guarantee the success of these nanoparticles' design, the nanoparticles have been characterized by Fourier-transform infrared spectroscopy FTIR, and thermogravimetric TGA techniques. While, for the electrochemical characterization, we have adopted cyclic voltammetry CV and electrochemical impedance spectroscopy EIS to control different steps of surface modification, and the differential pulse anodic stripping DPAS was monitored to follow up the electrochemical detection of different heavy metals. Results: have confirmed the good chemical and physical properties of the elaborated nanoparticles. As, the developed sensor showed a specific electrochemical response toward the heavy metal ions separately, with a lower limit of detection lower LOD than that recommended by the World Health Organization, in order of 9.6 ppb for Cu

Indexed as

Green synthesisHeavy metalsPt nanoparticleScreen printedSWV detection. Real sample

Identifiers

PMID38420384
PMCPMC10900941
OpenAlexW4391847930

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.