A novel fluorescent biomimetic sensor based on cerium, nitrogen co-doped carbon quantum dots embedded in cobalt-based metal organic framework@molecularly imprinted polymer for selective and sensitive detection of oxytetracycline

铈 分子印迹聚合物 检出限 量子产额 荧光 材料科学 金属有机骨架 吸附 纳米技术 化学 选择性 色谱法 有机化学 量子力学 冶金 催化作用 物理
作者
Xiaohui Wang,Yichuan Cao,Xuelian Hu,Lin Cai,Haiyang Wang,Guozhen Fang,Shuo Wang
出处
期刊:Microchemical Journal [Elsevier BV]
卷期号:190: 108606-108606 被引量:24
标识
DOI:10.1016/j.microc.2023.108606
摘要

Since oxytetracycline (OTC) residues in foodstuff are very harmful to human health, it is urgent to develop an effective assay to monitor OTC. Herein, an innovative fluorescent biomimetic sensor (Ce, N-CDs@ZIF-67@MIP) based on cerium, nitrogen co-doped carbon quantum dots (Ce, N-CDs) embedded in cobalt-based metal organic framework (ZIF-67) combining with molecularly imprinted polymer (MIP) was triumphantly fabricated by a simple one-pot strategy and subsequently applied for the selective and sensitive detection of OTC. In this strategy, the modification of the surface imprint layer enabled the sensor to possess favorable anti-interference ability and specific recognition performance for OTC. The introduction of ZIF-67 with large specific surface area functioning as supporter significantly increased the mass transfer rate and shortened the response time, which improved the adsorption performance and detection sensitivity of Ce, N-CDs@ZIF-67@MIP. Meanwhile, the Ce, N-CDs featured with bright blue fluorescence (FL) and high fluorescence quantum yield (FLQY, 33.69%) were incorporated as a signal label to make the sensor generate measurable FL response signal according to the inner filter effect (IFE), achieving signal amplification. Thanks to the integrated merits of MIP, ZIF-67 and Ce, N-CDs, the constructed Ce, N-CDs@ZIF-67@MIP sensor not only displayed a favorable linear range (0.05–20 μg mL−1) with a low detection limit (0.015 μg mL−1), but also showed good precision and reproducibility (RSD). More importantly, the designed sensor was successfully used to quantitatively analyze OTC in milk samples, and the corresponding results were in accordance with those obtained by HPLC method. Therefore, the proposed Ce, N-CDs@ZIF-67@MIP sensor is expected to provide an efficient and sensitive FL detection platform for OTC evaluation in dairy products.
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