Evidence map›Paper›PMID 40313999›Full record

ArticleADMET & DMPK2025

Voltammetric determination of sumatriptan in the presence of naproxen using a modified screen printed electrode.

Hazim Saad Jabbar Al-Maliki, Sudad Jasim Mohammed, Adil Turki Al-Musawi, Aliaa Saadoon Abdul-Razaq Al-Faraji, Mazin Hadi Kzar, Abdul Amir H Kadhum, Huda Hadi Nameh, Raed Muslim Mhaibes

Abstract read
In one paragraph

Article in ADMET & DMPK, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Electrochemical sensor based on CoScientific reports · 2025
    Article
  2. Article
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.

Hazim Saad Jabbar Al-MalikiDepartment of Basic Sciences, College of Dentistry, University of Basrah, Iraq.
Sudad Jasim MohammedMarket Research and Consumer Protection Center, University of Baghdad, Iraq.
Adil Turki Al-MusawiMarket Research and Consumer Protection Center, University of Baghdad, Iraq.
Aliaa Saadoon Abdul-Razaq Al-FarajiMarket Research and Consumer Protection Center, University of Baghdad, Iraq.
Mazin Hadi KzarCollege of Physical Education and Sport Sciences, Al-Mustaqbal University, 51001 Hillah, Babil-Iraq.
Abdul Amir H KadhumCollege of Medicine, University of Al-Ameed, Karbala, Iraq.
Huda Hadi NamehCollege of Pharmacy, University of Hilla, Babylon, Iraq.
Raed Muslim MhaibesDepartment of Biochemistry, College of Medicine, Misan University, Misan Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Sumatriptan is used to alleviate symptoms of migraine headaches, particularly during acute attacks. Naproxen is a medication that provides relief from pain, inflammation, and fever. Therefore, determination of them is important. Experimental approach: In the present work, CoMoO Key results: With a high sensitivity of 0.0718 μA/μM and a good correlation value of 0.9998, a linear calibration curve was obtained over a broad concentration range of 0.02-600.0 μM, suggesting a strong linear connection between the concentration and the response. Based on a signal-to-noise ratio of 3, the limit of detection for sumatriptan was determined to be 0.01 μM, suggesting a high degree of sensitivity for the detection technique. DPV results showed that the CoMoO Conclusion: The created sensor's usefulness and efficacy in real-world applications were demonstrated when it was successfully used to identify the target analytes in actual samples.

Indexed as

drug analysisnanomaterialsreal sample analysisSimultaneous determination

Identifiers

PMID40313999
PMCPMC12043103

What OpenQuestion holds

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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.