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.

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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
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article

Fluorescence detection based on molecularly imprinted microspheres and graphene quantum dots/graphite carbon nitride for three tetracyclines determination in dairy products

Yanxia Gao, Youming Shen, Ning Ma, Jianping Wang et al.
LWT
Analytical chemistry methods development
article

Fluorescence detection based on molecularly imprinted microspheres and graphene quantum dots/graphite carbon nitride for three tetracyclines determination in dairy products

Yanxia Gao, Youming Shen, Ning Ma, Jianping Wang, Yinchuan Pan, Hao Zhang, Shudong Liu, Jing Liu
article en

Abstract

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.

LWTVol. 234
Hebei Agricultural University (CN), Institute of Pomology (CN), Hebei Mental Health Center (CN), Hebei University (CN)
Openalex Percentile: Top 69%
Analytical chemistry methods development
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