ArticleMicrosystems & nanoengineering2026
High sensitivity chemiresistive biosensor prepared via enzyme-catalyzed redox and nanoparticle conduction network.
Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Antibody-detecting resistive biosensor for protein biomarkers.Microsystems & nanoengineering · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The demand is increasing for compact, low-cost biosensors suitable for point-of-care diagnostics. In this study, we developed a novel chemiresistive biosensor based on a platinum (Pt) nanoparticle-polymer composite matrix functionalized with a creatinine enzyme cascade. The sensor detects creatinine through resistance changes triggered by redox reactions of enzymatically generated hydrogen peroxide at the Pt nanoparticle interface. Operating near the percolation threshold of metallic nanoparticles enhances sensor sensitivity, as it promotes the formation of efficient electron conduction paths through hopping and tunneling mechanisms. The simplified two-electrode structure of the device eliminates the need for a reference electrode, enabling miniaturization and facilitating fabrication. Both direct and alternating current measurements confirm that the electrical response arises from interfacial charge redistribution combined with bulk conduction network formation. The biosensor exhibits a wide detection range (1-300 mg/dL), fast response time (~35 s), and strong correlation between analyte concentration and electrical signal. This platform offers a promising approach for high sensitivity, high selectivity, real-time biosensing of creatinine and other biomarkers.
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Registered trials
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