Evidence map›Paper›PMID 40710083›Full record

ArticleBiosensors2025

A Signal On-Off Ratiometric Molecularly Imprinted Electrochemical Sensor Based on MXene/PEI-MWCNTs Signal Amplification for the Detection of Diuron.

Yi He, Jin Zhu, Libo Li, Tianyan You, Xuegeng Chen

Abstract read
In one paragraph

Article in Biosensors, 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

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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

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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. Review
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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

5 authors.

Yi HeKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China 2112116005@stmail.ujs.edu.cn (Y.H.).
Jin ZhuKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China 2112116005@stmail.ujs.edu.cn (Y.H.).
Libo LiKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China 2112116005@stmail.ujs.edu.cn (Y.H.).ORCID 0000-0002-4844-8459
Tianyan YouKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China 2112116005@stmail.ujs.edu.cn (Y.H.).
Xuegeng ChenKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China 2112116005@stmail.ujs.edu.cn (Y.H.).

Funding

National Natural Science Foundation of China 22374061, 62371211Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD-2018-87
6 · The paper itself

Abstract

Diuron (DU) is a widely used phenylurea herbicide designed to inhibit weed growth, but its high toxicity and prolonged half-life contribute significantly to environmental contamination. The majority of electrochemical (EC) sensors typically rely on a single response signal for the detection of DU, rendering them highly susceptible to interference from variable background noise in complex environments, thereby reducing the selectivity and robustness. By integrating molecularly imprinted polymer (MIP) with a ratiometric strategy, the aforementioned issues could be solved. In this study, a novel signal on-off ratiometric MIP-EC sensor was developed based on the MXene/PEI-MWCNTs nanocomposite for the detection of DU. Positively charged PEI-MWCNTs was used as an interlayer spacer and embedded into negatively charged MXene by a simple electrostatic self-assembly method. This effectively prevented the agglomeration of MXene and enhanced its electrocatalytic performance. The MIP was synthesized via electropolymerization with DU serving as the template molecule and the selectivity was enhanced by leveraging the gate effect of MIP. Subsequently, a ratiometric MIP-EC sensor was designed by introducing [Fe(CN)

Indexed as

Biosensing TechniquesDiuronElectrochemical TechniquesMolecular ImprintingHerbicidesLimit of DetectionMolecularly Imprinted PolymersNitritesPolyethyleneimineTransition ElementsDiuronHerbicidesMolecularly Imprinted PolymersMXeneNitritesPolyethyleneimineTransition ElementsDiuron[Fe(CN)6]3−/4−molecularly imprinted polymerMXeneratiometric electrochemical sensor

Identifiers

PMID40710083
PMCPMC12293771

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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.