Evidence map›Paper›PMID 39758385›Full record

ReviewHeliyon2025

Advances in electrochemical sensors for naproxen detection: Mechanisms, performance factors, and emerging challenges.

Seyed Saman Nemati, Gholamreza Dehghan, Jafar Soleymani, Abolghasem Jouyban

Abstract readReview
In one paragraph

Review in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Seyed Saman NematiLaboratory of Biochemistry and Molecular Biology, Department of Biology, Faculty of Natural Sciences, University of Tabriz, 51666-16471, Tabriz, Iran.
Gholamreza DehghanLaboratory of Biochemistry and Molecular Biology, Department of Biology, Faculty of Natural Sciences, University of Tabriz, 51666-16471, Tabriz, Iran.
Jafar SoleymaniPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Abolghasem JouybanPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naproxen (NAP), a nonsteroidal anti-inflammatory, analgesic, and antipyretic drug, has fewer side effects than similar drugs due to its aryl acetic acid structure. For this reason, it is widely prescribed to manage fever, short-term and long-term pain, and musculoskeletal disorders. However, its use has complications such as changes in kidney function, severe gastrointestinal lesions, and increased bleeding after surgery. In addition, the toxicity of NAP or its metabolites affects the organisms in the ecosystem. Therefore, it is necessary to determine the pharmaceutical quality of produced NAP and measure its amount in living organisms and the environment. Spectroscopy, chromatography, and electrochemical methods have been used to determine NAP. Electrochemical methods have attracted more attention due to their low cost, easy sample preparation, availability, sensitivity, and acceptable results. In addition, using nanomaterials for NAP oxidation results in high surface-to-volume, high available active sites, low cost, and long-term usability with high sensitivity. In this review, electrochemical-based methods for NAP analysis and sensing have been reviewed. Also, the influential factors in NAP identification and evaluation, and their oxidation mechanism have been discussed.

Indexed as

Anti-inflammatory drugElectrochemical sensorsNanomaterialNaproxenOxidation mechanism

Identifiers

PMID39758385
PMCPMC11699440

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.