Heterometallic Eu/Cd-MOF Dual-Channel Fluorescent Sensor Array for Hierarchical Antibiotic Discrimination: From Cross-Class to Intra-Class Resolution.

Discriminating structurally similar antibiotics requires analytical strategies that simultaneously achieve cross-class differentiation and intra-class fine identification─a persistent challenge in chemical sensing. Herein, we report a hierarchical molecular recognition platform based on a single mixed-ligand Eu/Cd heterometallic metal-organic framework (MOF) featuring atomically homogeneous emissive centers. Precise Eu3+ substitution at Cd2+ nodes yields two spectrally distinct emission channels at 450 nm (ligand-centered) and 612 nm (Eu3+-centered), which generate characteristic fluorescence fingerprints through analyte-specific differential modulation. Configured as a dual-channel sensor array, this single-MOF platform achieves 100% accurate classification of four antibiotic classes (fluoroquinolones, tetracyclines, sulfonamides, and aminoglycosides) and precisely resolves structurally analogous fluoroquinolones (ciprofloxacin, enrofloxacin, norfloxacin) differing by <10% in molecular weight. Machine learning integration further enables concentration-independent discrimination of three fluoroquinolones, effectively mitigating concentration-induced signal variations and enabling robust identification of blind samples. When integrated with electrospun fibrous membranes and smartphone-based RGB imaging, the portable device enables sensitive detection of FQs in complex food matrices, including egg, milk, and honey, with recoveries of 95.73-99.64%. This work establishes heterometallic node engineering as a generalizable strategy for single-material multichannel sensing, effectively resolving the longstanding trade-off between analytical dimensionality and system simplicity in molecular recognition.