利用碳量子点作为荧光眼选择性检测动物源食品样本中的四环素

Anjali Kumari, Reena K. Sajwan, G. B. V. S. Lakshmi and Pratima R. Solanki*, 
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引用次数: 0

摘要

我们的周围有数以百万计的细菌,而抗生素是地球上唯一能保护我们免受成千上万细菌感染的药物。然而,过量使用这些抗生素加速了细菌的抗药性进程。耐药细菌随之传播并呈指数增长,造成了一些健康问题。因此,我们需要一个能智能检测受污染样本中是否含有抗生素的系统。本研究开发了一种基于碳量子点(CQDs)的荧光共振能量转移(FRET)"关断 "传感器,用于检测动物源食品样品中的四环素(Tetra)。高荧光 CQDs 的平均粒径为 1.80 ± 0.435 nm。由于能量从供体(CQDs)转移到受体(Tetra),CQDs 的发射强度在有 Tetra 存在时降低了 57.3%。此外,分析 CQDs 的寿命衰减(加入 Tetra 后从 9.43 ns 变为 8.89 ns)证实了 FRET淬灭机制。传感器在 Tetra 浓度为 0.05-100 μM 时呈线性响应,检测限为 10.47 nM。用添加了标准浓度 Tetra 的牛奶和鸡蛋样品对传感器进行了适用性测试。测试结果证明,该传感器可用作食品监测工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Selective Detection of Tetracycline in Animal-Derived Food Samples Using Carbon Quantum Dots as a Fluorescent Eye

A Selective Detection of Tetracycline in Animal-Derived Food Samples Using Carbon Quantum Dots as a Fluorescent Eye

We all are surrounded by millions of bacteria, and antibiotics are the only medicine that exists on the Earth to protect us from the thousands of bacterial infections. However, excess consumption of these antibiotics has accelerated the bacterial resistance process. The resistive bacteria then spread and grew exponentially and created several health problems. So, a system is necessarily required that smartly detects the presence of antibiotics in the contaminated samples. Here in this work, a carbon quantum dots (CQDs) based fluorescence resonance energy transfer (FRET) “Turn-Off” sensor was developed for tetracycline (Tetra) detection in animal-derived food samples. The highly fluorescent CQDs have average particle size of around 1.80 ± 0.435 nm were synthesized using pyrolysis method. Here, CQDs-Tetra form a FRET pair, and the emission intensity of CQDs reduced to 57. 3% in the presence of Tetra due to the transfer of energy from donor (CQDs) to acceptor (Tetra). Further, analyzing the lifetime decay of CQDs, which changed from 9.43 ns to 8.89 ns with addition of Tetra, confirms the FRET quenching mechanism. The sensor show the linear response with Tetra concentration varies as 0.05–100 μM with a limit of detection 10.47 nM. The applicability test of the sensor was carried out with real milk and egg samples spiked with standard concentration of Tetra. The test results proved that the sensor could be used as a food monitoring tool.

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