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

Authors

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

Published in

Mikrochimica acta. Volume 193. Issue 8. Jul 28, 2026. Epub Jul 28, 2026.

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.

PMID:
42517938
Bibliographic data and abstract were imported from PubMed on 28 Jul 2026.

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