Evidence map›Paper›PMID 38499672›Full record

ArticleMikrochimica acta2024

Fe-MOF/AuNP-based ratiometric electrochemical immunosensor for the detection of deoxynivalenol in grain products.

Zaixi Shu, Huilin Hu, Zhenhong Yuan, Yue Zou, Qi Zhang, Yingli Wang, Xin Liu, Shuo Duan, Fuwei Pi, Jiahua Wang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Iron-MOFs for Biomedical Applications.Advanced healthcare materials · 2025
    Review
  2. Review
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

12 authors.

Zaixi ShuCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Huilin HuCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Zhenhong YuanCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Yue ZouCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Qi ZhangSchool of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, 212004, China.
Yingli WangCollege of Engineering, Huazhong Agricultural University, Wuhan, 430070, China.
Xin LiuCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Shuo DuanCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Fuwei PiCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Jiahua WangCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Xiaodan LiuCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Huang DaiCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China. huangdai9@126.com.

Funding

the National Key Research and Development Program of China 2022YFF1102500
6 · The paper itself

Abstract

A ratiometric assay was designed to improve the sensitivity and reliability of electrochemical immunosensors for deoxynivalenol (DON) detection. The indicator signal caused by the Fe-based metal-organic framework nanocomposites loaded with gold nanoparticles and the internal reference signal from the [Fe(CN)

Indexed as

Biosensing TechniquesMetal NanoparticlesTrichothecenesElectrochemical TechniquesGoldImmunoassayReproducibility of ResultsdeoxynivalenolGoldTrichothecenesDeoxynivalenol detectionDifferential pulse voltammetryElectrochemical immunosensorFe-based metal–organic frameworkRatiometric

Identifiers

PMID38499672

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.