Yinchuan Pan, Shudong Liu, Hao Zhang, Youming Shen, Jing Liu, Jianping Wang, Yanxia Gao, Ning Ma
Tetracyclines (TCs) residues in dairy products pose a potential threat to food safety and public health, necessitating sensitive and selective detection methods. In this study, a fluorescence-based sensing method was constructed by embedding nitrogen and phosphorus co-doped graphene quantum dots (NP-GQDs) into graphite carbon nitride (g-C 3 N 4 ). The composite was subsequently combined with doxycycline-specific molecularly imprinted microspheres (MIM) to obtain MIM@NP-GQDs/g-C 3 N 4 . The composite-based assay exhibited a linear range of 2–50 ng/mL (R 2 > 0.99), with detection limits of 0.8–1.8 ng/mL for three TCs. The method showed excellent reproducibility, allowing up to six reuse cycles, and recovery rates in TC-free dairy samples ranged from 83.5% to 96.7% (RSD < 5%). This study demonstrated the application of MIM@NP-GQDs/g-C 3 N 4 for TC detection in dairy products, offering a highly selective and reusable fluorescence-based detection strategy.