Evidence map›Paper›PMID 41008119›Full record

ArticleFoods (Basel, Switzerland)2025

A Sensitive and Selective Electrochemical Sensor Based on an Iron-Based Nanocomposite-Modified Electrode for the Detection of Dopamine in Pork.

Jing Li, Luyao Wang, Jijie Shi, Xuelian Wu, Jing Zhang, Yuecheng Xu, Xinhui Wang, Xiaoqin Li

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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

8 authors.

Jing LiCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.ORCID 0000-0002-6079-9833
Luyao WangCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
Jijie ShiCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
Xuelian WuCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
Jing ZhangCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.ORCID 0009-0002-5621-7519
Yuecheng XuSichuan Institute of Food Inspection, Chengdu 610731, China.
Xinhui WangCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
Xiaoqin LiCollege of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.

Funding

Key Laboratories of Fine Chemicals and Surfactants in Sichuan Provincial Universities 2023JXY08Sichuan Provincial Science and Technology Program 2024NSFSC2067
6 · The paper itself

Abstract

Here, a highly sensitive and selective electrochemical sensor for dopamine (DA) determination in pork was developed. This sensor was fabricated using iron-based nanocomposites (Fe@(C-S-N)) to modify a glassy carbon electrode (GCE) substrate. The Fe@(C-S-N) nanocomposites were synthesized through a facile low-temperature chemical precipitation approach by adopting ferrous sulfate and melamine as raw materials, with their structural and compositional properties thoroughly investigated using multiple analytical techniques, including X-ray diffraction (XRD), electron microscopy (EM), X-ray photoelectron spectroscopy (XPS), and energy-dispersive spectra (EDS). Cyclic voltammetry (CV), chronocoulometry (CC), and differential pulse voltammetry (DPV) were adopted to investigate the electrochemical performance of the fabricated Fe@(C-S-N)/GCE sensor. Notably, the sensor demonstrated a linear response range from 0.05 to 100 μM with a minimal limit of detection (LOD) of 46 nM. Lastly, the fabrication sensor was used to determine DA in pork samples, showing an acceptable recovery of over 96.89%. Thus, the proposed sensor could offer an effective method for determining DA in pork.

Indexed as

dopamineelectrochemical sensoriron-based nanocompositespork

Identifiers

PMID41008119
PMCPMC12468867

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.