Evidence map›Paper›PMID 41141788›Full record

ArticleACS omega2025

Deployment of Solid-Supported Natural Deep Eutectic Solvents via Unmanned Aerial Vehicles to Preconcentrate Contaminants from Environmental Water Samples.

Vagner Bezerra Dos Santos, Carlos D Garcia, Helayne S de Sousa, Vinicius A Carvalho, Severino Carlos Oliveira, Willian Toito Suarez

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

6 authors.

Vagner Bezerra Dos SantosLIA3 - Applied Analytical Instrumentation Laboratory, Department of Fundamental Chemistry, Federal University of Pernambuco, Av. Journalist Anibal Fernandes, S/N, University City, Recife, PE 50740-560, Brazil.ORCID https://orcid.org/0000-0002-9426-6197
Carlos D GarciaDepartment of Chemistry, Clemson University, 211 S. Palmetto Blvd, Hunter Rm. 235, Clemson, South Carolina 29634, United States.ORCID https://orcid.org/0000-0002-7583-5585
Helayne S de SousaLIA3 - Applied Analytical Instrumentation Laboratory, Department of Fundamental Chemistry, Federal University of Pernambuco, Av. Journalist Anibal Fernandes, S/N, University City, Recife, PE 50740-560, Brazil.
Vinicius A CarvalhoLIA3 - Applied Analytical Instrumentation Laboratory, Department of Fundamental Chemistry, Federal University of Pernambuco, Av. Journalist Anibal Fernandes, S/N, University City, Recife, PE 50740-560, Brazil.
Severino Carlos OliveiraDepartment of Chemistry, Federal Rural University of Pernambuco, Dom Manuel de Medeiros Street, S/N, Two Brothers, Recife, PE 52171-900, Brazil.ORCID https://orcid.org/0000-0003-3968-5046
Willian Toito SuarezDepartment of Chemistry, Federal University of Viçosa, Av. Peter Henry Rolfs S/N, Viçosa, MG 36570-000, Brazil.ORCID https://orcid.org/0000-0002-0714-2859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple analytical methodology for extraction and electroanalytical detection of 2-nitrophenol in water is herein presented. The method is based on the preconcentration of the model contaminant on a solid support (sponge) soaked in hydrophobic natural deep eutectic solvents (decanoic acid and menthol) and deployed using an adapted unmanned aerial vehicle. The subsequent analysis was performed electrochemically via square wave voltammetry and boron-doped diamond electrodes. Under optimized conditions, the proposed approach required dipping the sponge impregnated with a hydrophobic NADES in the water sample for only 5 min (well under the autonomy of the drone) and led to a linear range of 0.0250-35.0 μmol L

Identifiers

PMID41141788
PMCPMC12547756

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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.