Evidence map›Paper›PMID 42889874›Full record

ArticleACS omega2026

Poly(Allura Red AC)-Modified Glassy Carbon Electrode: Electropolymerization, Characterization, and Application in Uric Acid Detection.

Fatma Ağın, Elif Mollahasanoğlu, Gökçe Öztürk, Fatih Erdemir, Dilek Kul

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Fatma AğınDepartment of Analytical Chemistry, Faculty of Pharmacy, Karadeniz Technical University, Trabzon 61080, Türkiye.ORCID https://orcid.org/0000-0002-6973-4323
Elif MollahasanoğluDepartment of Analytical Chemistry, Faculty of Pharmacy, Karadeniz Technical University, Trabzon 61080, Türkiye.
Gökçe ÖztürkDepartment of Analytical Chemistry, Faculty of Pharmacy, Karadeniz Technical University, Trabzon 61080, Türkiye.
Fatih ErdemirDepartment of Metallurgical and Materials Engineering, Faculty of Engineering, Karadeniz Technical University, Trabzon 61080, Türkiye.
Dilek KulDepartment of Analytical Chemistry, Faculty of Pharmacy, Karadeniz Technical University, Trabzon 61080, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the electropolymerization, electrochemical characterization, and analytical applicability of a poly-(Allura Red AC)-modified glassy carbon electrode were systematically investigated. Electropolymerization parameters, including monomer concentration, buffer type, pH, and ionic strength, were optimized to obtain a stable and electroactive poly-(Allura Red AC) film. The resulting polymer film was characterized by cyclic voltammetry, electrochemical impedance spectroscopy, surface coverage analysis, electroactive surface area determination, and pH-dependent electrochemical studies. The modified electrode exhibited enhanced electrocatalytic activity toward the oxidation of uric acid, enabling sensitive voltammetric determination. Under optimized conditions, the sensor showed a linear range of 0.2-40 μM and low detection limits of 7.64 nM and 6.47 nM by cyclic voltammetry and differential pulse voltammetry, respectively. The developed methods were successfully applied to protein-free human serum samples, providing accurate recoveries and no prominent interfering peaks within the uric acid oxidation potential window. This work provides a comprehensive understanding of the formation and electrochemical properties of poly-(Allura Red AC) films while demonstrating their applicability as an electrocatalytic sensing interface for sensitive uric acid determination in biological samples.

Identifiers

PMID42889874
PMCPMC13670307

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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.