Evidence map›Paper›PMID 42101528›Full record

ArticleJournal of fluorescence2026

A Highly Selective Hemicyanine-Based Turn-Off Fluorescent Sensor for Cyanide Detection in Food Samples.

Fuat Gokbel, Ziya Aydin, Şeyma Akın, Esma Nur Çenet, Mustafa Keles

Abstract read
In one paragraph

Article in Journal of fluorescence, 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.

Fuat GokbelFaculty of Engineering, Department of Food Engineering, Karamanoğlu Mehmetbey University, Karaman, 70200, Türkiye. fgkbel@kmu.edu.tr.
Ziya AydinVocational School of Technical Sciences, Karamanoğlu Mehmetbey University, Karaman, 70200, Türkiye.
Şeyma AkınFaculty of Engineering, Department of Food Engineering, Karamanoğlu Mehmetbey University, Karaman, 70200, Türkiye.
Esma Nur ÇenetFaculty of Engineering, Department of Bioengineering, Karamanoğlu Mehmetbey University, Karaman, 70200, Türkiye.
Mustafa KelesFaculty of Arts and Sciences, Department of Chemistry, Osmaniye Korkut Ata University, Osmaniye, 80000, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyanide is a highly toxic anion. Humans are commonly exposed to cyanide through the consumption of drinking water or by eating plants that contain cyanogenic glucosides, such as cassava, a key carbohydrate source in many diets. While numerous methods exist for cyanide detection, few are both cost-effective and simple enough for use by individuals without specialized training. In this work, we designed and synthesized a hemicyanine-based fluorescent sensor ZM-FES for the detection of cyanide (CN

Indexed as

CarbocyaninesCyanidesFluorescent DyesFood AnalysisFood ContaminationFluorescent Chemosensor CompoundsSpectrometry, FluorescenceCarbocyaninesCyanidesFluorescent Chemosensor CompoundsFluorescent Dyestetramethylene hemicyanineChemosensorCyanideFluorescenceHemicyanineNucleophilic addition

Identifiers

PMID42101528
PMCPMC13226347

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.