Evidence map›Paper›PMID 40603340›Full record

ArticleScientific reports2025

Detection of caffeic acid in honey using carbon paste electrode modified by copper (II) oxide (CuO) nanoparticles.

Marzieh Ghorbani Galugerdi, Elahe Mahmoodi-Khaledi, Hossain-Ali Rafiee-Pour

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Marzieh Ghorbani GalugerdiDepartment of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, Iran.
Elahe Mahmoodi-KhalediDepartment of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, Iran. e.mahmoodi_kh@kashanu.ac.ir.
Hossain-Ali Rafiee-PourDepartment of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of caffeic acid (CA) in food such as honey is of interest as it has antioxidant, antibacterial, anti-inflammatory, anti-fungal, etc. properties. Accordingly it is necessary to provide a simple, fast, sensitive and low-cost method for CA determination. Here, the carbon paste electrode surface was modified with CuO nanoparticles to obtain CuONPs/CPE as an electrochemical sensor for CA. The CuONPs were synthesized via sol-gel method and characterized using field emission scanning electron microscopy (FE-SEM), energy dispersive X-ray (EDX), X-ray diffraction (XRD) and fourier-transform infrared spectroscopy (FT-IR). Electrochemical behavior of CA at the CPE and CuONPs/CPE surfaces was studied using cyclic voltammetry (CV) technique in phosphate buffered saline (PBS; 0.1 M, pH 2.3). The oxidation and reduction peaks of CA were observed at 0.49 (E

Indexed as

Caffeic AcidsCarbonCopperHoneyMetal NanoparticlesElectrochemical TechniquesElectrodesLimit of DetectionSpectroscopy, Fourier Transform InfraredX-Ray Diffractioncaffeic acidCaffeic AcidsCarbonCoppercupric oxidecuprous oxideCaffeic acidCarbon pasteCopper (II) oxide nanoparticlesHoneyVoltammetry

Identifiers

PMID40603340
PMCPMC12222804

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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.