Evidence map›Paper›PMID 40259115›Full record

ArticleMikrochimica acta2025

High-performance electrochemical immunosensor for ultrasensitive detection of malachite green in food matrices using MOF-derived nanocomposites.

Na Li, Yiqun Guo, Mengmeng Wu, Aiying Wang, Yuna Guo, Yuancheng Li

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2025. 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. Article
  2. 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

6 authors.

Na LiShandong Freshwater Fisheries Research Institute, Jinan, 250117, China.
Yiqun GuoSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
Mengmeng WuShandong Freshwater Fisheries Research Institute, Jinan, 250117, China.
Aiying WangShandong Freshwater Fisheries Research Institute, Jinan, 250117, China.
Yuna GuoMedical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China. gyn9901220@163.com.
Yuancheng LiSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.

Funding

National Natural Science Foundation of China 22304104, 22106091Shandong Provincial Natural Science Foundation ZR2022QH260, ZR2021QB126Taishan Scholars Program tstp20240836, tsqn202408255
6 · The paper itself

Abstract

A highly specific and ultrasensitive electrochemical immunosensor for malachite green (MG) detection in complex food matrices is presented. The sensor was constructed through a stepwise assembly process incorporating gold nanoparticles, antibodies, and metal-organic framework (MOF)-derived Pd/CuO@NiO nanocomposites. Its structure and electrochemical performance were thoroughly validated using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). Key detection parameters, including pH and nanocomposite concentration, were systematically optimized to maximize sensor performance. The sensor demonstrated a broad linear detection range (10

Indexed as

Biosensing TechniquesElectrochemical TechniquesFood AnalysisFood ContaminationMetal-Organic FrameworksNanocompositesRosaniline DyesAnimalsAntibodies, ImmobilizedCopperFishesGoldImmunoassayLimit of DetectionMetal NanoparticlesAntibodies, ImmobilizedCopperGoldmalachite greenMetal-Organic FrameworksRosaniline DyesAmperometryAntibodiesElectrochemical immunosensorGold nanoparticlesMalachite greenNanocomposite

Identifiers

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.