Molecularly imprinted electrochemiluminescence sensor sensitized with Zn-PTC and Co-MOF for selective determination of ciprofloxacin in foods
Abstract
● A novel MIP-ECL sensor was developed for fast and selective detection of ciprofloxacin in foods. ● The sensor integrates a Zn-PTC MOF luminophore and a Co-MOF accelerator to amplify the signal. ● The MIP-ECL sensor exhibited a wide linear range (1.0 × 10 -9 -1.0 × 10 -5 mol L -1 ) and a low detection limit of 7.7 × 10 -11 mol L -1 . ● The method was validated for accurate CIP detection in real samples. A novel molecularly imprinted electrochemiluminescence (MIP-ECL) sensor was developed for the highly sensitive and selective detection of ciprofloxacin (CIP) in foods. The sensor was constructed through a rational multi-step modification of a glassy carbon electrode (GCE). Firstly, the novel luminescent metal-organic framework (MOF), Zn-perylene-3,4,9,10-tetracarboxylate (Zn-PTC), was synthesized and then coated onto GCE to generate an ECL signal. Subsequently, a cobalt-based metal-organic framework (Co-MOF) was synthesized and immobilized as a co-reaction accelerator, significantly enhancing the ECL intensity of the Zn-PTC system. Finally, a molecularly imprinted polypyrrole membrane was electropolymerized on the Co-MOF/Zn-PTC/GCE surface to provide specific recognition sites for CIP. This MIP layer effectively improved the sensor's selectivity, while the Co-MOF boosting strategy ensured high sensitivity. Under optimal conditions, the sensor demonstrated a wide linear range from 1.0 × 10 -9 to 1.0 × 10 -5 mol L -1 and a low detection limit of 7.7 × 10 -11 mol L -1 . The accuracy of the sensor was confirmed through recovery experiments in spiked canned luncheon meat and Angus beef meatballs, yielding satisfactory recoveries ranging from 93.40% to 106.25%. Furthermore, the detection results for chicken gizzard and grilled sausage showed excellent agreement with those obtained by high performance liquid chromatography (HPLC), validating the practical applicability of the proposed method.
Fields of Study & Subjects
Electrochemical sensors and biosensors
Analytical chemistry methods development
Advanced biosensing and bioanalysis techniques
Publication details
- Journal / source
- Journal of Future Foods
- Publication date
- 1 January 2026
- Language
- EN