Evidence map›Paper›PMID 35697907›Full record

ArticleMikrochimica acta2022

Development of a nanocopper-decorated laser-scribed sensor for organophosphorus pesticide monitoring in aqueous samples.

David Bahamon-Pinzon, Geisianny Moreira, Sherine Obare, Diana Vanegas

Abstract read
In one paragraph

Article in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Electrochemical Sensors for Pesticide Residue Detection.Molecules (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Article
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  5. Review
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

4 authors.

David Bahamon-PinzonDepartment of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, USA.ORCID http://orcid.org/0000-0003-2149-1964
Geisianny MoreiraDepartment of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, USA.ORCID http://orcid.org/0000-0002-7008-0363
Sherine ObareJoint School of Nanoscience and Nanoengineering, North Carolina A&T State University and UNC Greensboro, Greensboro, NC, USA.ORCID http://orcid.org/0000-0003-3317-7147
Diana VanegasDepartment of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, USA. dvanega@clemson.edu.ORCID http://orcid.org/0000-0001-9858-0960

Funding

National Science Foundation CBET-2019435National Science Foundation ECCS2025064
6 · The paper itself

Abstract

Organophosphorus pesticides are widely used in industrial agriculture and have been associated with water pollution and negative impacts on local ecosystems and communities. There is a need for testing technologies to detect the presence of pesticide residues in water sources, especially in developing countries where access to standard laboratory methods is cost prohibitive. Herein, we outline the development of a facile electrochemical sensor for amperometric determination of organophosphorus pesticides in environmental water samples. A three-electrode system was fabricated via UV laser-inscribing on a polyimide film. The working electrode was functionalized with copper nanoparticles with affinity toward organophosphate compounds. The sensor showed a limit of detection (LOD) of 3.42 ± 1.69 µM for glyphosate, 7.28 ± 1.20 µM for glufosinate, and 17.78 ± 7.68 µM for aminomethylphosphonic acid (AMPA). Sensitivity was highest for glyphosate (145.52 ± 36.73 nA⋅µM

Indexed as

Pesticide ResiduesPesticidesEcosystemLasersOrganophosphorus CompoundsWaterOrganophosphorus CompoundsPesticide ResiduesPesticidesWaterAmperometryCopper nanoparticlesEnvironmental monitoringGlyphosateLIGOrganophosphorus pesticidesSensorTurbostratic graphene

Identifiers

PMID35697907
PMCPMC9192389

What OpenQuestion holds

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LicenceCC BY
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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.