Evidence map›Paper›PMID 42517938›Full record

ArticleMikrochimica acta2026

Construction of a molecularly imprinted electrochemical sensor based on NiCo-MOF/AgNPs/rGNRs and bifunctional monomers for tetracycline determination.

Xuan Yang, Tianyu Zhang, Shan Li, Binbin Zhou, An Liu, Liang Chen

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xuan YangCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, 414006, China.
Tianyu ZhangCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, 414006, China.
Shan LiCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, 414006, China.
Binbin ZhouCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, 414006, China. 12019039@hnist.edu.cn.ORCID https://orcid.org/0000-0002-1754-7710
An LiuCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, 414006, China. 12018026@hnist.edu.cn.
Liang ChenCollege of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, 414006, China. clvilance@163.com.

Funding

HHunan Provincial Natural Science Foundation of China No. 2024JJ4022
6 · The paper itself

Abstract

A molecularly imprinted electrochemical sensor based on a composite material consisting of nickel‑cobalt bimetallic organic framework (NiCo-MOF), silver nanoparticles (AgNPs), and reduced graphene oxide nanoribbons (rGNRs) was created for the highly-sensitive and high-selectivity detection of tetracycline (TC) in food. Initially, rGNRs and AgNPs were sequentially deposited on a glassy carbon electrode (GCE) surface via electrochemical reduction. The synergistic effect between AgNPs and rGNRs significantly enhanced the electrode's electron transfer capability, while the excellent redox activity of AgNPs endowed the sensor with self-reporting functionality. Subsequently, NiCo-MOF was introduced by a dip-coating method to form a NiCo-MOF/AgNPs/rGNRs/GCE composite sensing interface, further improving the adsorption capacity and response sensitivity toward the target analyte. Furthermore, using TC as the template molecule and o-phenylenediamine and o-aminophenol as bifunctional monomers, a molecularly imprinted polymer (MIP) film with specific recognition sites was constructed on this interface via electropolymerization, ultimately yielding the MIP/NiCo-MOF/AgNPs/rGNRs/GCE sensor. After optimizing the parameters, the sensor exhibited a good linear range from 0.05 to 1000 nM, with a detection limit as low as 0.017 nM, along with high selectivity, excellent reproducibility, and stability. The accurate detection of TC in milk, honey and eggs verified the reliability of the constructed sensor. This work provides a feasible design strategy for developing sensitive, efficient electrochemical sensors for trace hazardous substance analysis in food and environmental matrices.

Indexed as

Electrochemical TechniquesMetal NanoparticlesMetal-Organic FrameworksMolecular ImprintingTetracyclineAnimalsAnti-Bacterial AgentsCobaltEggsElectrodesFood ContaminationGraphiteHoneyLimit of DetectionMilkMolecularly Imprinted PolymersAnti-Bacterial AgentsCobaltgraphene oxideGraphiteMetal-Organic FrameworksMolecularly Imprinted PolymersNanotubes, CarbonNickelSilverTetracyclineModified glassy carbon electrodeMolecularly imprinted electrochemical sensorNiCo-MOFReduced graphene oxide nanoribbonsSilver nanoparticlesTetracycline

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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.