Evidence map›Paper›PMID 41419682›Full record

ArticleMikrochimica acta2025

A ternary nanocomposite-modified disposable electrochemical biosensor for sensitive detection of aflatoxin B1 in food samples.

Ayesha Ijaz, Muzammal Ijaz, Ghulam Abbas, Sheraz Ahmad, Mohammad Tariq, Abdur Rahim, Akhtar Hayat, Ayaz Hassan

Abstract read
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Article in Mikrochimica acta, 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

8 authors.

Ayesha IjazInterdisciplinary Research Center in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 1.5 Defence road Off Raiwand Road, Lahore, Pakistan.
Muzammal IjazDepartment of Veterinary Sciences, University of Veterinary and Animal Sciences (UVAS), Lahore, Pakistan.
Ghulam AbbasInterdisciplinary Research Center in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 1.5 Defence road Off Raiwand Road, Lahore, Pakistan.
Sheraz AhmadInterdisciplinary Research Center in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 1.5 Defence road Off Raiwand Road, Lahore, Pakistan.
Mohammad TariqNational Center of Excellence in Physical Chemistry, University of Peshawar, Jamrud Road, Peshawar, Pakistan.
Abdur RahimDepartment of Chemistry, COMSATS University Islamabad (CUI), Park Road, Tarlai Khan, Islamabad, Pakistan.
Akhtar HayatInterdisciplinary Research Center in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 1.5 Defence road Off Raiwand Road, Lahore, Pakistan.
Ayaz HassanInterdisciplinary Research Center in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 1.5 Defence road Off Raiwand Road, Lahore, Pakistan. ayazhassan@cuilahore.edu.pk.

Funding

COMSATS Institute of Information Technology No. 16-27/CRGP/CUI/LHR/24
6 · The paper itself

Abstract

A disposable graphite pencil electrode (GPE)-based electrochemical biosensor for the detection of aflatoxin B1 (AFB1) in milk samples is presented. The biosensor surface was functionalized with a ternary nanocomposite comprising graphene oxide nanoribbons (GONRs), MXene (Ti₃C₂T

Indexed as

Aflatoxin B1Biosensing TechniquesElectrochemical TechniquesFood AnalysisFood ContaminationNanocompositesAnimalsAntibodies, ImmobilizedArachisElectrodesGraphiteImmunoassayLimit of DetectionMetal NanoparticlesMilkNanotubes, CarbonAflatoxin B1Antibodies, Immobilizedgraphene oxideGraphiteNanotubes, CarbonPolyethylene GlycolsSilverTitaniumAFB1Ag@GONRs/MXene nanocompositeElectrochemical detectionElectrochemical impedance spectroscopyImmunosensorModified graphite pencil electrodeMycotoxins

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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.