Nanoengineered Metal Oxide-Amplified ZIF-8 Nanocubes: A Pioneering Pathway for Trace-Level Chloramphenicol Detection in Food Matrices

Abstract

In this work, nanocubic ZIF-8 (Zinc Imidazole Framework) was prepared via a simple wet-chemical process. To enhance and elevate the physicochemical and electrochemical properties of ZIF-8 nanocube, highly porous CuYO2, a delafossite-type material, was used as a supportive matrix. The integration of ZIF-8 nanocube with highly porous CuYO2 has improved structural stability, increased electroactive surface area, and facilitated rapid electron transfer. The unique architecture of ZIF-8 within the delafossite structure provided more active sites for interaction. The ZIF-8@CuYO2 composite was prepared through a straightforward hydrothermal process, subsequently applied for the nanomolar detection of chloramphenicol (CPL). CPL is an extensively used hazardous antibiotic compound and also a hindering agent in the evolution of both gram bacteria. The physicochemical nature of the proposed material was scrutinized through diverse characterization techniques, signifying the desired formation of the ZIF-8@CuYO2 composite and its aptitude to enhance sensor performance. Due to the synergistic interaction between CuYO2 and ZIF-8, the proposed ZIF-8@CuYO2/GCE exhibited an excellent linear range, low detection limit (DPV = 9.4 nm; i-t = 7.08 nm), and outstanding sensitivity, stability, and selectivity toward CPL. The proposed sensor maintained reliable performance for over 28 days and was successfully applied to real-world samples for the detection of CPL, achieving high recovery rates. Therefore, this work provides an effective approach for monitoring CPL in food samples and eye drop samples, ensuring drug residue safety in both food and medicinal formulations.

Supplementary files

Article information

Article type
Paper
Submitted
27 Mar 2025
Accepted
15 Sep 2025
First published
16 Sep 2025

Nanoscale, 2025, Accepted Manuscript

Nanoengineered Metal Oxide-Amplified ZIF-8 Nanocubes: A Pioneering Pathway for Trace-Level Chloramphenicol Detection in Food Matrices

R. Surya, T. S. Malayalam amarnath, F. Y. Rahman, S. Sakthinathan and T. Chiu, Nanoscale, 2025, Accepted Manuscript , DOI: 10.1039/D5NR01281C

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