Evidence map›Paper›PMID 41900270›Full record

ArticleMicromachines2026

A Composite Structure of Modified Silver Nanoparticles for Improving the Recognition Performance of Electrode.

Jiao Yang, Liqin Cui, Yibo Zhao, Xiaoping Wu

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

4 authors.

Jiao YangCollege of Microelectronics and Artificial Intelligence, Kaili University, Kaili 556011, China.ORCID 0009-0004-1248-9218
Liqin CuiCollege of Science, Kaili University, Kaili 556011, China.
Yibo ZhaoSchool of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710021, China.
Xiaoping WuCollege of Microelectronics and Artificial Intelligence, Kaili University, Kaili 556011, China.ORCID 0009-0004-4914-6761

Funding

chool-level research project of Kaili University (2026YB006)Open Fund Project from Engineering Research Center of Micro-Nano and Intelligent Manufacturing of Ministry of Education at Kaili University (WZG-202502)
6 · The paper itself

Abstract

To meet the demand for rapid detection of methylene blue residues in aquatic products, this study constructed a composite structure modified with silver nanoparticles on the surface of a glassy carbon sheet for precise detection. This composite film used the synergistic effect of the composite structure, which significantly enhanced the current response between the composite film and MB. The CV and EIS results demonstrated that this composite structure exhibited outstanding performance, endowing the composite film with the capability for sensitive detection of methyl blue. The results showed that the composite film detected methylene blue by differential pulse voltammetry, with a limit of detection as low as 1.6 nM. In the concentration range of 10 nM to 120 nM, the current intensity presented a good linear relationship with the concentration of MB. In addition, this composite film successfully identified methylene blue in aquatic products, with a recovery rate ranging from 81% to 113%. The results indicated that the composite film could be effectively applied to the sensitive detection of methylene blue in complex samples. This study provided a reliable and easy-to-construct electrochemical sensing platform for aquatic product safety monitoring.

Indexed as

aquatic productscomposite filmcurrent responsemethylene bluesilver nanoparticle-modified

Identifiers

PMID41900270
PMCPMC13029589

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.