Evidence map›Paper›PMID 41981018›Full record

ArticleScientific reports2026

Manganese-nickel cobaltite/graphitic carbon nitride/cerium oxide nanocomposite for vanillin sensing in food samples.

Ali Ramzannezhad, Shahram Ghasemi, Shayan Safari

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Ali RamzannezhadDepartment of Physics, Babol Noshirvani University of Technology, Babol, Iran.
Shahram GhasemiFaculty of Chemistry, University of Mazandaran, Babolsar, Iran. sghasemi@umz.ac.ir.
Shayan SafariFaculty of Chemistry, University of Mazandaran, Babolsar, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vanillin is a widely used flavoring agent in the food, pharmaceutical, and cosmetic industries; however, its excessive intake may pose potential health risks, necessitating sensitive and reliable detection methods. In this work, a novel and cost-effective electrochemical sensor was developed based on Mn0.5Ni0.5Co2O4 (MNC) spinel decorated with g-C3N4@CeO2 nanoparticles (NPs). The effect of different loading ratios of g-C3N@CeO2 NPs on the sensor performance was systematically evaluated to identify the optimal composition. The incorporation of g-C3N4@CeO2 NPs significantly enhanced the electroactive surface area, accelerated electron transfer kinetics, and improved the electrocatalytic activity toward vanillin oxidation. The synthesized nanocomposites were characterized by spectroscopic, structural, morphological, and electrochemical techniques, confirming the successful fabrication and improved electrochemical properties. Under optimized conditions, the sensor exhibited a low limit of detection (LOD) of 6 nM and a limit of quantification (LOQ) of 19 nM, along with two linear response ranges of 0.006-0.4 µM and 1-1000 µM. Additionally, a wide detection range up to 4000 µM was achieved. The sensor demonstrated excellent selectivity, reproducibility, and long-term stability. Its practical applicability was verified by the accurate determination of vanillin in real food samples, yielding satisfactory recovery and precision. These findings highlight the potential of surface-engineered spinel/NPs nanocomposites as efficient platforms for sensitive electrochemical sensing applications.

Indexed as

Electrochemical sensorFood sample analysisg-C3N4@CeO2 nanoparticlesMn0.5Ni0.5Co2O4 spinelVanillin detection

Identifiers

PMID41981018
PMCPMC13237156

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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.