Evidence map›Paper›PMID 41680133›Full record

ArticleMicrosystems & nanoengineering2026

High sensitivity chemiresistive biosensor prepared via enzyme-catalyzed redox and nanoparticle conduction network.

Yi-Hsiu Kao, Nguyen Van Toan, Takaaki Abe, Ioana Voiculescu, Takahito Ono

Abstract read
In one paragraph

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.

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

5 authors.

Yi-Hsiu KaoDepartment of Mechanical Systems Engineering, Tohoku University, Sendai, Japan.
Nguyen Van ToanDepartment of Mechanical Systems Engineering, Tohoku University, Sendai, Japan.
Takaaki AbeDepartment of Medicine, Tohoku University, Sendai, Japan.ORCID http://orcid.org/0000-0003-3170-4660
Ioana VoiculescuMechanical Engineering Department, City College of New York, New York, NY, USA.
Takahito OnoDepartment of Mechanical Systems Engineering, Tohoku University, Sendai, Japan. takahito.ono.d4@tohoku.ac.jp.

Funding

Japan Agency for Medical Research and Development (AMED) JP21zf0127001MEXT | Japan Science and Technology Agency (JST) 24H02231MEXT | Japan Science and Technology Agency (JST) JPMJSP2114MEXT | Japan Society for the Promotion of Science (JSPS) 25K01142,MEXT | Japan Society for the Promotion of Science (JSPS) JPMJAP2413
6 · The paper itself

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.

Identifiers

PMID41680133
PMCPMC12901010

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LicenceCC BY-NC-ND
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Registered trials

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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.