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基于分子印迹聚合物包覆碲化镉量子点的食品样品中磺胺噻唑类抗生素的先进荧光检测法

Advanced Fluorometric Detection of Sulfathiazole Antibiotics in Food Samples with Molecularly Imprinted Polymer Coated CdTe Quantum Dots.

作者信息

Mortari Bianca, Wong Ademar, Khan Sabir, Dutra Rosa Fireman, Del Pilar Taboada Sotomayor Maria

机构信息

Department of Analytical Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Araraquara, São Paulo 14801-970, Brazil.

National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM), Araraquara, SP 14800-060, Brazil.

出版信息

ACS Omega. 2025 Jul 23;10(30):33910-33920. doi: 10.1021/acsomega.5c04765. eCollection 2025 Aug 5.

Abstract

Sulfathiazole (STZ) is an antibiotic used for bacterial infections in humans and to boost farm animal health. Overuse can lead to harmful antibiotic residues in meat, posing risks to human health. This also contributes to the rise of antibiotic-resistant bacteria. Here we developed a fluorescent sensor for the detection and monitoring of sulfathiazole, utilizing molecularly imprinted polymers (MIPs) that possess selective cavities tailored to the target analyte. These MIPs were integrated with quantum dotsnanocrystalline semiconductors known for their fluorescent propertiesresulting in a core@shell structure, referred to as QD@MIP. The synthesized materials were examined using a combination of advanced imaging and spectroscopic analysis method. Fluorescence analysis was used to optimize the acidity level and contact duration for QD@MIPs with STZ. With the conditions optimized, the sensor attained a linear detection range of 10 to 60 μg kg, establishing limit of detection value of 0.59 and 1.79 μg kg for limit of quantification, respectively. The QD@MIP was tested for repeatability and reliability, showing relative standard deviation (RSD) values under 9%. Tests with four potential interfering substances confirmed the high specificity of the sensor, which also demonstrated effectiveness in real animal-derived food samples, achieving recovery rates above 80% for fortified STZ. This study demonstrates the potential of the QD@MIP sensor for accurate and reliable monitoring and analysis of food samples, showcasing its excellent performance and quality.

摘要

磺胺噻唑(STZ)是一种用于治疗人类细菌感染以及促进农场动物健康的抗生素。过度使用会导致肉类中出现有害的抗生素残留,对人类健康构成风险。这也促使了抗生素耐药菌的增加。在此,我们开发了一种用于检测和监测磺胺噻唑的荧光传感器,该传感器利用了分子印迹聚合物(MIP),其具有为目标分析物量身定制的选择性空腔。这些MIP与量子点(因其荧光特性而闻名的纳米晶半导体)相结合,形成了一种核壳结构,称为量子点@分子印迹聚合物(QD@MIP)。使用先进的成像和光谱分析方法相结合对合成材料进行了检测。荧光分析用于优化QD@MIP与STZ的酸度水平和接触持续时间。在条件优化后,该传感器的线性检测范围为10至60μg/kg,定量限的检测值分别为0.59和1.79μg/kg。对QD@MIP进行了重复性和可靠性测试,相对标准偏差(RSD)值低于9%。对四种潜在干扰物质的测试证实了该传感器具有高特异性,并且在实际动物源性食品样品中也显示出有效性,加标STZ的回收率高于80%。这项研究证明了QD@MIP传感器在准确可靠地监测和分析食品样品方面的潜力,展示了其优异的性能和品质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b049/12332599/874fa1c5403f/ao5c04765_0007.jpg

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