Evidence map›Paper›PMID 35700386›Full record

ArticleEnvironmental science & technology2022

SERS-Based Methodology for the Quantification of Ultratrace Graphene Oxide in Water Samples.

Elena Briñas, Viviana Jehová González, María Antonia Herrero, Mohammed Zougagh, Ángel Ríos, Ester Vázquez

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-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

3 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Elena BriñasDepartment of Organic Chemistry, Regional Institute of Applied Scientific Research (IRICA), 13071 Ciudad Real, Spain.
Viviana Jehová GonzálezDepartment of Organic Chemistry, Regional Institute of Applied Scientific Research (IRICA), 13071 Ciudad Real, Spain.
María Antonia HerreroDepartment of Organic Chemistry, Regional Institute of Applied Scientific Research (IRICA), 13071 Ciudad Real, Spain.
Mohammed ZougaghDepartment of Organic Chemistry, Regional Institute of Applied Scientific Research (IRICA), 13071 Ciudad Real, Spain.
Ángel RíosDepartment of Analytical Chemistry and Food Technology, Faculty of Pharmacy, University of Castilla-La Mancha (UCLM), 02071 Albacete, Spain.
Ester VázquezDepartment of Organic Chemistry, Regional Institute of Applied Scientific Research (IRICA), 13071 Ciudad Real, Spain.ORCID 0000-0003-3223-8024
Instituto de Investigación en Recursos Cinegéticos · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extensive use of graphene materials in real-world applications has increased their potential release into the environment. To evaluate their possible health and ecological risks, there is a need for analytical methods that can quantify these materials at very low concentrations in environmental media such as water. In this work, a simple, reproducible, and sensitive method to detect graphene oxide (GO) in water samples using the surface-enhanced Raman spectroscopy (SERS) technique is presented. The Raman signal of graphene is enhanced when deposited on a substrate of gold nanoparticles (AuNPs), thus enabling its determination at low concentrations with no need for any preconcentration step. The practical limit of quantification achieved with the proposed method was 0.1 ng mL

Indexed as

GraphiteMetal NanoparticlesGoldSpectrum Analysis, RamanWaterGoldgraphene oxideGraphiteWatergraphene oxidequantificationRaman spectroscopySERSwater samples

Identifiers

PMID35700386
PMCPMC9261266
OpenAlexW4282947156

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.