Evidence map›Paper›PMID 39727885›Full record

ArticleBiosensors2024

Paper-Based Aptasensor Assay for Detection of Food Adulterant Sildenafil.

Murat Kavruk, Veli Cengiz Ozalp

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. Review
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

2 authors.

Murat KavrukDepartment of Medical Biology, School of Medicine, Istanbul Aydin University, Istanbul 34292, Turkey.ORCID 0000-0001-5331-7253
Veli Cengiz OzalpDepartment of Medical Biology, School of Medicine, Atilim University, Ankara 06830, Turkey.ORCID 0000-0002-7659-5990

Funding

Atilim University ATU-LAP-2122-14
6 · The paper itself

Abstract

Sildenafil is used to treat erectile dysfunction and pulmonary arterial hypertension but is often illicitly added to energy drinks and chocolates. This study introduces a lateral flow strip test using aptamers specific to sildenafil for detecting its illegal presence in food. The process involved using graphene oxide SELEX to identify high-affinity aptamers, which were then converted into molecular gate structures on mesoporous silica nanoparticles, creating a unique signaling system. This system was integrated into lateral flow chromatography strips and tested on buffers and chocolate samples containing sildenafil. The method simplifies the lateral flow assay (LFA) for small molecules and provides a tool for signal amplification. The detection limit for these strips was found to be 68.2 nM (31.8 µg/kg) in spiked food samples.

Indexed as

Aptamers, NucleotideBiosensing TechniquesFood ContaminationGraphiteSildenafil CitrateFood AnalysisHumansLimit of DetectionNanoparticlesPaperAptamers, Nucleotidegraphene oxideGraphiteSildenafil Citrateadulterationbiosensorslateral flow strip assaymesoporous silica nanoparticlessildenafil

Identifiers

PMID39727885
PMCPMC11674377

What OpenQuestion holds

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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 OpenQuestion graph.