基于双层涂层结构的分子印迹传感器用于牛奶中氯四环素的快速灵敏检测

IF 5.3 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Yafei Chang, Haijiao Lin, Zengyi Song, Yu Liu, Xia Xiao, Binbin Wei, Ronghua Fan
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引用次数: 0

摘要

牛奶作为现代社会的一种常见食品,其安全性越来越受到人们的关注,其中一个主要问题是抗生素残留的存在。这些残留物会导致诸如耐药性、免疫抑制、诱变、致畸和致癌等问题。本研究首次在金电极上重新涂覆磁性共价有机框架(COFs)和分子印迹聚合物(MIP),开发了一种快速灵敏检测牛奶中CT残留的传感器。ct作为模板分子,EDTA和NHS作为交联剂。以聚邻苯二胺为MIP层,95%甲醇为洗脱液。在金电极表面依次涂覆一层COFs和一层MIP。该方法的优点是提高了传感器的存储时间,提高了传感器检测CT残留物的性能。电化学信号被Fe3O4放大,而电化学信号同时受到MIP中ct的洗脱和重结合的控制。基于这些原理,建立了检测方法。在最佳检测条件下,所制备的传感器灵敏度为0.3 × 10−12 mol/L。该传感器表现出良好的选择性,使其能够将目标分子与其他九种常见分子(如氯霉素、链霉素和青霉素)区分开来。此外,该传感器表现出优异的再现性和理想的稳定性,在信号仅下降0.2%的情况下保持稳定5周。此外,对真实牛奶样品的检测表明,该传感器表现有效,证明了其检测牛奶中残留ct的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Developing a Molecular Imprinting Sensor Based on Double-Layer Coating Structure for the Rapid and Sensitive Detection of Chlortetracycline in Milk

Developing a Molecular Imprinting Sensor Based on Double-Layer Coating Structure for the Rapid and Sensitive Detection of Chlortetracycline in Milk

As a common food in the modern world, milk safety is becoming increasingly concerning, with a major issue being the presence of antibiotic residues. These residues can lead to problems such as drug resistance, immunosuppression, mutagenesis, teratogenesis, and carcinogenesis. In this study, a sensor for the rapid and sensitive detection of CT residues in milk was developed for the first time by re-coating magnetic covalent organic frameworks (COFs) and molecularly imprinted polymer (MIP) on a gold electrode. CTs served as the template molecule, while EDTA and NHS were used as cross-linkers. Poly(o-phenylenediamine) was utilized as the MIP layer, and 95% methyl alcohol was used as the eluent. The surface of the gold electrode was successively coated with a layer of COFs and a layer of MIP. The advantage of this coating method was that it enhanced the sensor’s storage time and improved its performance in detecting CT residues. The electrochemical signal was amplified by Fe3O4, while the electrochemical signal was simultaneously controlled by the elution and rebinding of CTs in the MIP. Based on these principles, the detection was established. Under optimal detection conditions, the prepared sensor achieved a sensitivity of 0.3 × 10−12 mol/L. The sensor exhibited good selectivity, allowing it to differentiate the target molecule from nine other common molecules, such as chloramphenicol, streptomycin, and penicillin. Additionally, the sensor displayed excellent reproducibility and ideal stability, remaining stable for 5 weeks with only a 0.2% decrease in signal. Furthermore, the detection of real milk samples showed that the sensor performed effectively, demonstrating its potential for detecting residual CTs in milk.

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来源期刊
Food and Bioprocess Technology
Food and Bioprocess Technology 农林科学-食品科技
CiteScore
9.50
自引率
19.60%
发文量
200
审稿时长
2.8 months
期刊介绍: Food and Bioprocess Technology provides an effective and timely platform for cutting-edge high quality original papers in the engineering and science of all types of food processing technologies, from the original food supply source to the consumer’s dinner table. It aims to be a leading international journal for the multidisciplinary agri-food research community. The journal focuses especially on experimental or theoretical research findings that have the potential for helping the agri-food industry to improve process efficiency, enhance product quality and, extend shelf-life of fresh and processed agri-food products. The editors present critical reviews on new perspectives to established processes, innovative and emerging technologies, and trends and future research in food and bioproducts processing. The journal also publishes short communications for rapidly disseminating preliminary results, letters to the Editor on recent developments and controversy, and book reviews.
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