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中国精品科技期刊2020
吕天凤,宋新杰,吴丽,等. 食品中喹诺酮类抗生素的光学和电化学传感器检测方法研究进展[J]. 食品工业科技,2023,44(9):465−474. doi: 10.13386/j.issn1002-0306.2022070231.
引用本文: 吕天凤,宋新杰,吴丽,等. 食品中喹诺酮类抗生素的光学和电化学传感器检测方法研究进展[J]. 食品工业科技,2023,44(9):465−474. doi: 10.13386/j.issn1002-0306.2022070231.
LÜ Tianfeng, SONG Xinjie, WU Li, et al. Progress in Optical and Electrochemical Sensors for Detection of Quinolone Antibiotics in Food[J]. Science and Technology of Food Industry, 2023, 44(9): 465−474. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022070231.
Citation: LÜ Tianfeng, SONG Xinjie, WU Li, et al. Progress in Optical and Electrochemical Sensors for Detection of Quinolone Antibiotics in Food[J]. Science and Technology of Food Industry, 2023, 44(9): 465−474. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022070231.

食品中喹诺酮类抗生素的光学和电化学传感器检测方法研究进展

Progress in Optical and Electrochemical Sensors for Detection of Quinolone Antibiotics in Food

  • 摘要: 食品中喹诺酮类抗生素的残留危害食品安全,已经引起广泛关注。基于纳米材料制备的传感器具有实时分析、低检测限和分析所需的样品量小等多种优势,是目前喹诺酮类抗生素的现场检测技术研究的热点。本文介绍了荧光、比色、表面增强拉曼散射(SERS)、免疫层析(ICA)等光学传感器和基于不同纳米材料的电化学传感器在喹诺酮类抗生素检测中的应用,比较和分析了不同类型传感器的特点。并对量子点、上转换纳米粒子等纳米材料在光学传感器中的应用,以及碳纳米材料、金属纳米材料和氧化还原介质等在电化学传感器中的应用进行了综述并提出了展望,以期为食品中抗生素的检测和传感器的发展提供新的思路。

     

    Abstract: Quinolone antibiotic residues present a high risk for food safety and have gained widespread attention. Nanomaterials based sensors have the advantages of on-site application, sensitivity, and small sample volume requirement and has attracted significant interest in on-site detection technology research for quinolone antibiotics. This paper introduces the application of optical sensors including fluorescence, colorimetry, SERS, ICA and electrochemical sensors based on diverse nanomaterials in quinolone antibiotics detection and summarizes the characteristics of diverse sensors. The application of nanomaterials including quantum dots and upconversion in optical sensors, as well as those of carbon and metal nanomaterials and redox media in electrochemical sensors are reviewed and evaluated. The objective of this work is to provide new concepts for antibiotics detection in food and the development of sensors.

     

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