Evidence map›Paper›PMID 42195462›Full record

ArticleMicromachines2026

Development of a 3D-Printed Nanocarbon Electrode Modified with Bimetallic Nanoparticles for Enhanced Electrochemical Detection of Dopamine.

Claudia Cirillo, Mariagrazia Iuliano, Nicola Funicello, Salvatore De Pasquale, Maria Sarno

Abstract read
In one paragraph

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

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

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.

Claudia CirilloDepartment of Physics "E.R. Caianiello", University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy.ORCID 0000-0002-7492-3831
Mariagrazia IulianoDepartment of Physics "E.R. Caianiello", University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy.ORCID 0009-0002-0461-2605
Nicola FunicelloDepartment of Physics "E.R. Caianiello", University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy.
Salvatore De PasqualeDepartment of Physics "E.R. Caianiello", University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy.
Maria SarnoDepartment of Physics "E.R. Caianiello", University of Salerno, Via Giovanni Paolo II, 132-84084 Fisciano, Italy.ORCID 0000-0001-5663-3040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid and reliable detection of dopamine (DA) is crucial for clinical diagnostics and neurochemical research. Here, we present an advanced electrochemical sensor fabricated by integrating 3D printing technology with bimetallic nanomaterials to achieve high sensitivity, selectivity, and reproducibility. A conductive polylactic acid (PLA) electrode was 3D-printed and subsequently activated to expose electroactive carbon domains. The surface was then modified with AgPt bimetallic nanoparticles (NPs), synthesized via a one-step solvothermal method, and coated with Nafion

Indexed as

3D-printed electrochemical sensorAgPt bimetallic nanoparticlesconductive PLA electrodedopamine biosensingreal human urine sample

Identifiers

PMID42195462
PMCPMC13209062

What OpenQuestion holds

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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.