Evidence map›Paper›PMID 27194909›Full record

ArticleInternational journal of nanomedicine2016

Voltammetric determination of melatonin using a graphene-based sensor in pharmaceutical products.

Irina Mirela Apetrei, Constantin Apetrei

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

23 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Juglone/MWCNT-Modified Electrode for High-Performance Melatonin Detection.International journal of molecular sciences · 2026
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  17. Graphene-Based Sensors for the Detection of Bioactive Compounds: A Review.International journal of molecular sciences · 2021
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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 at 1 institution in 1 country.

Irina Mirela ApetreiDepartment of Pharmaceutical Sciences, Faculty of Medicine and Pharmacy, "Dunarea de Jos" University of Galati, Galati, Romania.
Constantin ApetreiDepartment of Chemistry, Physics and Environment, Faculty of Sciences and Environment, "Dunarea de Jos" University of Galati, Galati, Romania.
"Dunarea de Jos" University of Galati · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melatonin can be sensitively detected in pharmaceuticals by cyclic voltammetry and fixed-potential amperometry using a graphene-based sensor. The sensor characterization of cyclic voltammetry constantly provides high values of electrode active area and heterogeneous rate constant. In optimal conditions, the sensor was applied for the determination of melatonin in different pharmaceutical samples. The sensitivity to melatonin was 0.0371 A M(-1), and the limit of detection was 0.87×10(-6) M. The data obtained by using the graphene-based sensor for the detection of melatonin in pharmaceutical products were in good agreement with the data provided by the producer. Since no interferences from the excipients were found, using a separation technique was not necessary. Additionally, the low price, ease of handling, small amount of sample, short time per analysis, and possibility of automation are the important advantages that recommend this methodology for quality control of pharmaceuticals.

Indexed as

Electrochemical TechniquesElectrodesGraphiteLimit of DetectionMelatoninPharmaceutical PreparationsSensitivity and SpecificityGraphiteMelatoninPharmaceutical Preparationschitosanelectroanalysiskineticslimit of detectionrecovery

Identifiers

PMID27194909
PMCPMC4859415
OpenAlexW2345770077

What OpenQuestion holds

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LicenceCC BY-NC
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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.