ArticleACS omega2025
Properties Evaluation of Different Graphite Brands through the Development of Electrochemical Sensors for Phenolic Compounds Detection.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- High-Performance Multifunctional rPA6/rCFRP/rGraphite Hybrid Composites from Recycled Industrial Waste.ACS polymers Au · 2026Article
- A Comparative Study of Conductive 3D Printing Filaments for Electrochemical Sensing Applications Pretreated by Alumina Polishing, Electrochemical Activation, and Electrodeposition of Au Nanoparticles.ACS electrochemistry · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graphite is one of the most utilized materials for producing conductive inks for screen-printed electrodes (SPEs). Because of their wide range of applications, several brands are available in the market. Consequently, it is possible to find particles with different properties. In this context, these differences can generate variations in the device performance. Based on this, the present work compares paper analytical devices (PADs), which were prepared with three different graphite brands and photographic paper, to evaluate how these possible distinctions can affect the devices' performance. CA detection was carried out with square wave voltammetry, where the devices produced with Fisher Chemical and Sigma-Aldrich graphite stood out for their high stability and current magnitude. Under the optimized parameters, analytical curves were constructed for each PAD, resulting in 5.0 × 10
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Registered trials
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