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智能手机集成的纸质传感平台,用于可视化和定量检测吡虫啉。

Smartphone-integrated paper-based sensing platform for the visualization and quantitative detection of pymetrozine.

机构信息

College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang 471934, China; College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471022, China.

College of Chemistry and Chemical Engineering, Henan Key Laboratory of Function-Oriented Porous Materials, Luoyang Normal University, Luoyang 471934, China.

出版信息

Food Chem. 2024 May 15;440:138269. doi: 10.1016/j.foodchem.2023.138269. Epub 2023 Dec 23.

Abstract

Pymetrozine (PYM) is an effective pyridine insecticide for controlling aphids, while its residues pose a serious threat to human health. Herein, a europium complex (Eu-DBPA, DBPA represents deprotonated 2,5-dibromoterephthalic acid ligand) probe was prepared for the detection of PYM via fluorescence quenching. The detection process has the advantages of short response time (2 min), wide linear range (0-4 and 4-45 mg/kg) and low detection limit (2.2 μg/kg). Furthermore, a portable detection platform was designed by integrating Eu-DBPA-based paper strip with smartphone and applied for the visual detection of PYM in real cucumber, tomato, cabbage and apple samples, obtaining satisfactory recovery (99.00 %-107.00 %) and low standard deviation (RSD < 3.4 %). In addition, a logic gate device was designed to simplify the detection process. The smartphone-integrated paper-based probe detection platform provides a new strategy for intelligent and online identification of hazards in environmental and biological samples.

摘要

吡虫啉(PYM)是一种有效的吡啶类杀虫剂,可用于防治蚜虫,但它的残留物对人类健康构成严重威胁。在此,我们制备了一种基于铕的配合物(Eu-DBPA,DBPA 代表去质子化的 2,5-二溴对苯二甲酸配体)探针,可通过荧光猝灭法检测 PYM。该检测过程具有响应时间短(2 分钟)、线性范围宽(0-4 和 4-45mg/kg)和检测限低(2.2μg/kg)等优点。此外,我们还设计了一种便携式检测平台,将基于 Eu-DBPA 的试纸条与智能手机集成,并应用于实际的黄瓜、番茄、白菜和苹果样品中 PYM 的可视化检测,获得了令人满意的回收率(99.00%-107.00%)和低标准偏差(RSD<3.4%)。此外,我们还设计了一个逻辑门装置来简化检测过程。该智能手机集成的纸质探针检测平台为环境和生物样品中危险物的智能在线识别提供了一种新策略。

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