Development of Carbofuran Imprinted Electrochemical Sensor Based on Carbon Black-Graphitic Carbon Nitride Nanocomposite and Carbofuran Detection in Orange Juice Samples.

Didem Gün, Dilek Doğan, İlknur Polat, İsmail Hakkı Akbudak, Mehmet Lütfi Yola

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 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

5 authors.

Didem GünDepartment of Basic Sciences, Faculty of Engineering, Hasan Kalyoncu University, Gaziantep 27010, Türkiye.ORCID 0000-0003-2495-7176

Dilek DoğanDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Hasan Kalyoncu University, Gaziantep 27010, Türkiye.ORCID 0000-0003-1800-4635

İlknur PolatDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Hasan Kalyoncu University, Gaziantep 27010, Türkiye.

İsmail Hakkı AkbudakDivision of Intensive Care Medicine, Department of Internal Medicine, Faculty of Medicine, Pamukkale University, Denizli 20160, Türkiye.

Mehmet Lütfi YolaDepartment of Biology, Faculty of Science, Ankara University, Ankara 06100, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbofuran (CAR) is an extremely toxic carbamate insecticide that poses serious threats to both environmental and human health, which necessitates highly sensitive analytical methods for its detection in food matrices. This research introduced a novel strategy for CAR detection, presenting the synergistic interaction between molecularly imprinted polymers (MIPs) and a carbon black-graphitic carbon nitride (CB-g-C

Indexed as

carbofurancarbon blackelectrochemical sensorfood analysisgraphitic carbon nitridemolecularly imprinted polymerspolypyrrole

Identifiers

PMID42794107

DOI10.3390/foods15183313

PMCPMC13606741

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.