Fluorescence detection based on molecularly imprinted microspheres and graphene quantum dots/graphite carbon nitride for three tetracyclines determination in dairy products
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. • Application of MIM@NP-GQDs/g-C 3 N 4 composite for detecting tetracyclines. • MIM@NP-GQDs/g-C 3 N 4 shows excellent stability and can be reused up to six times. • Achieved LOD of 0.8–1.8 ng/mL with excellent sensitivity for trace analysis. • Effective in real dairy samples and application potential.
Authors
- Yanxia Gao (ORCID: https://orcid.org/0000-0002-9436-693X)
- Youming Shen (ORCID: https://orcid.org/0000-0001-5806-9551)
- Ning Ma (ORCID: https://orcid.org/0000-0001-6696-0379)
- Jianping Wang (ORCID: https://orcid.org/0000-0002-7141-3473)
- Yinchuan Pan (ORCID: https://orcid.org/0000-0002-9307-2577)
- Hao Zhang (ORCID: https://orcid.org/0000-0003-0067-5238)
- Shudong Liu (ORCID: https://orcid.org/0009-0007-5180-9503)
- Jing Liu (ORCID: https://orcid.org/0000-0002-9815-3202)
Institutions
- Hebei Agricultural University (CN)
- Institute of Pomology (CN)
- Hebei Mental Health Center (CN)
- Hebei University (CN)
Publication Details
- Journal
- LWT
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.lwt.2025.118585
- Primary Topic
- Analytical chemistry methods development
- Type
- article
- Field-Weighted Citation Impact
- 0.00