Evidence map›Paper›PMID 36144546›Full record

ArticleMolecules (Basel, Switzerland)2022

A Simple Model to Estimate the Number of Metal Engineered Nanoparticles in Samples Using Inductively Coupled Plasma Optical Emission Spectrometry.

Nokwanda Hendricks, Olatunde Olatunji, Bhekumuzi Gumbi

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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

3 authors.

Nokwanda HendricksSchool of Chemistry and Physics, University of KwaZulu-Natal, Private Bag X54001, Durban 4001, South Africa.ORCID 0000-0002-8139-5635
Olatunde OlatunjiSchool of Chemistry and Physics, University of KwaZulu-Natal, Private Bag X54001, Durban 4001, South Africa.
Bhekumuzi GumbiSchool of Chemistry and Physics, University of KwaZulu-Natal, Private Bag X54001, Durban 4001, South Africa.ORCID 0000-0002-6727-4343

Funding

Mgeni Water UKZ/Mgeni Water ChairNational Research Foundation 122021Water Research Commission K5/2807
6 · The paper itself

Abstract

Accurate determination of the size and the number of nanoparticles plays an important role in many different environmental studies of nanomaterials, such as fate, toxicity, and occurrence in general. This work presents an accurate model that estimates the number of nanoparticles from the mass and molar concentration of gold nanoparticles (AuNPs) in water. Citrate-capped AuNPs were synthesized and characterized using transmission electron microscopy (TEM) and ultraviolet-visible spectroscopy (UV-vis). A mimic of environmental matrices was achieved by spiking sediments with AuNPs, extracted with leachate, and separated from the bulk matrix using centrifuge and phase transfer separation techniques. The quantification of AuNPs' molar concentration on the extracted residues was achieved by inductively coupled plasma optical emission spectroscopy (ICP-OES). The molar concentrations, an average diameter of 27 nm, and the colloidal suspension volumes of AuNPs enable the calculation of the number of nanoparticles in separated residues. The plot of the number of AuNPs against the mass of AuNPs yielded a simple linear model that was used to estimate the number of nanoparticles in the sample using ICP-OES. According to the authors' knowledge, this is the first adaptation of the gravimetric method to ICP-OES for estimating the number of nanoparticles after separation with phase transfer.

Indexed as

Metal NanoparticlesCitric AcidGoldSpectrum AnalysisWaterCitric AcidGoldWatercentrifugationgold nanoparticlesICP-OESmetal engineered nanoparticlesmolar concentrationnanomaterialsnumber of nanoparticlesphase transfer

Identifiers

PMID36144546
PMCPMC9506279

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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.