Evidence map›Paper›PMID 41902048›Full record

ArticleSensors (Basel, Switzerland)2026

A Novel Dopamine Electrochemical Sensor Based on Pt/CNTs-N-S/Electrode.

Pingping Yang, Zhaopu Li, Jinpu Xie, Yukun Tang, Yinchen Liu, Lingxin Zhou, Tengfei Duan, Zhonghui Deng, Siwen Du, Qifei Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 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

13 authors.

Pingping YangSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0009-0009-2132-936X
Zhaopu LiSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Jinpu XieSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Yukun TangSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Yinchen LiuCollege of Science and Technology, Hunan University of Technology, Zhuzhou 412007, China.
Lingxin ZhouCollege of Science and Technology, Hunan University of Technology, Zhuzhou 412007, China.
Tengfei DuanSchool of Materials Science and Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Zhonghui DengSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Siwen DuSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Qifei ZhangSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Yabing LuSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Jingjing DuSchool of Packaging Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Lijian XuSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.

Funding

Hunan Province's "Peony Plan" Leading Talent in Scientific and Technological Innovation 2025RC1060Hunan Provincial Natural Science Foundation 2025JJ50334Hunan Provincial Natural Science Foundation 2025JJ70008National Natural Science Foundation of China 52374387National Natural Science Foundation of China 52474378Undergraduate Innovation Project 202512604002Undergraduate Innovation Project S202512604007
6 · The paper itself

Abstract

Dopamine (DA) plays an extremely crucial role in the metabolic processes of the human body. Accurate detection of DA is of great significance for many major diseases. This study reports an innovative synthesis method for composite material in which sulfur (S) and nitrogen (N) are incorporated into multi-walled carbon nanotubes (MWCNTs), and platinum (Pt) nanoparticle sensors (Pt/CNTs-N-S) are loaded for the highly sensitive and selective electrochemical detection of DA. The linear range of this sensor is from 0.0078 to 2 mM, and the limit of detection (LOD) is 0.73 μM (S/N = 3) for DA detection. The outstanding detection performance exhibited by Pt/CNTs-N-S is mainly attributed to the co-doping of N and S, which improves the surface properties of MWCNTs, and the dispersion of Pt nanoparticles (5.22 nm), which significantly increases the electrochemically active surface area (ESCA). In addition, the Pt/CNTs-N-S sensor also exhibits excellent stability and anti-interference performance. Overall, this study provides a simple and practical strategy for the potential application of Pt-based sensors in the detection of DA.

Indexed as

Biosensing TechniquesDopamineElectrochemical TechniquesNanotubes, CarbonPlatinumElectrodesHumansLimit of DetectionMetal NanoparticlesNitrogenSulfurDopamineNanotubes, CarbonNitrogenPlatinumSulfurdopaminemultiwalled carbon nanotubeN-dopedPt nanoparticlesSsensor

Identifiers

PMID41902048
PMCPMC13030083

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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.