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基于油溶性CdSe量子点的微流控纸芯片快速检测大豆样品中的乐果

Rapid Detection of Dimethoate in Soybean Samples by Microfluidic Paper Chips Based on Oil-Soluble CdSe Quantum Dots.

作者信息

Yan Xinpeng, Zhang Zhong, Zhang Runguang, Yang Tian, Hao Guoying, Yuan Li, Yang Xingbin

机构信息

Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.

Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, Shaanxi Normal University, Xi'an 710119, China.

出版信息

Foods. 2021 Nov 15;10(11):2810. doi: 10.3390/foods10112810.

Abstract

Given the imperative of monitoring organophosphorus pesticides (OPs) residues in the ecosystem, here a novel, facile and sensitive fluorescence sensor is presented for the rapid detection of dimethoate. In this work, surface molecularly imprinted polymer (SMIP) and microfluidic technology had been introduced to enhance the selectivity and portability of the described methodology. Oil-soluble CdSe quantum dots (QDs) synthesized in a green way were used as fluorescent material for the selective detection of dimethoate on the basis of static quenching and photoinduced electron transfer mechanism. Among many kinds of paper materials, glass fiber paper was used as the novel substrate of paper chip due to low pristine fluorescence and better performance when combining CdSe QDs. In the process of molecular imprinting, the interaction between several functional monomers and dimethoate molecule was investigated and simulated theoretically by software to improve the selectivity of the sensor. Consequently, the fabricated novel detection platform could effectively respond to dimethoate in 10 min with the concentration range of 0.45-80 μmol/L and detection limit of 0.13 μmol/L. The recovery in the spiked experiment soybean sample was in an acceptable range (97.6-104.1%) and the accuracy was verified by gas chromatography-mass spectrometry, which signified the feasibility and potential in food sampling.

摘要

鉴于监测生态系统中有机磷农药(OPs)残留的迫切需求,本文提出了一种新颖、简便且灵敏的荧光传感器,用于快速检测乐果。在这项工作中,引入了表面分子印迹聚合物(SMIP)和微流控技术,以提高所描述方法的选择性和便携性。以绿色方式合成的油溶性CdSe量子点(QDs)被用作荧光材料,基于静态猝灭和光致电子转移机制对乐果进行选择性检测。在多种纸质材料中,玻璃纤维纸因其原始荧光低且与CdSe QDs结合时性能更好,被用作纸芯片的新型基材。在分子印迹过程中,通过软件对几种功能单体与乐果分子之间的相互作用进行了理论研究和模拟,以提高传感器的选择性。因此,所制备的新型检测平台能够在10分钟内有效响应乐果,浓度范围为0.45 - 80 μmol/L,检测限为0.13 μmol/L。加标实验大豆样品中的回收率在可接受范围内(97.6 - 104.1%),并且通过气相色谱 - 质谱法验证了准确性,这表明该方法在食品采样中的可行性和潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8104/8619599/21ee73ca38a1/foods-10-02810-g001.jpg

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