Evidence map›Paper›PMID 39995902›Full record

ArticleHeliyon2025

High-performance electrochemical sensor based on Pt-Ag@Cu-BDC MOF composite modified glassy carbon electrode for detection of imidacloprid in citrus juice and water samples.

Fariba Hasani, Jahan Bakhsh Raoof, Reza Ojani, Milad Ghani

Abstract read
In one paragraph

Article in Heliyon, 2025. 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.

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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

4 authors.

Fariba HasaniElectroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.
Jahan Bakhsh RaoofElectroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.
Reza OjaniElectroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.
Milad GhaniDepartment of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The key factor to improve the sensitivity of electrochemical sensors for direct detection, is the introduction of new nanomaterials with enhanced catalytic properties. Accordingly, we prepared Pt-Ag@Cu-metal organic framework (MOF) as a novel nanocomposite to construct a sensitive electrochemical sensor for voltammetric determination of imidacloprid (IMI). The copper benzene-1,4-dicarboxylate framework (Cu-BDC MOF) was used as support for bearing the metal nanoparticles (NPs) including Ag and Pt. First, Ag NPs were incorporated into Cu-BDC MOF and then Pt NPs were substitute through galvanic replacement reaction between Ag NPs and Pt ions. The Pt-Ag@Cu-BDC MOF as a novel nanocomposite was utilized as a modifier to decorate glassy carbon (GC) electrode. The excellent conductivity, hierarchical and micro-mesoporous structure of Pt-Ag@Cu-BDC MOF and the synergistic effect between Ag and Pt nanoparticles were beneficial for fast electron transfer required for IMI reduction. At the Pt-Ag@Cu-BDC MOF/GCE, reduction potential of IMI was greatly shifted to positive value and the electrochemical signal increased significantly. The prepared sensor exhibited wide linear range (5 nM-10000 nM), low detection limit (1.5 nM) and high sensitivity towards IMI detection. This sensor was successfully applied for detection of IMI in citrus juice and water samples with good recoveries (92-106 %, RSD ≤4 %).

Indexed as

Electrochemical sensorGalvanic replacementHierarchical mesoporous structureImidaclopridPt-Ag@Cu-BDC MOFTafel analysis

Identifiers

PMID39995902
PMCPMC11849624

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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.