铕
代森锰锌
荧光
化学
考试(生物学)
电位滴定法
计算机科学
有机化学
生物
植物
杀菌剂
物理
量子力学
离子
作者
Zheng Cheng,Xinfang Liu,Beibei Zhao,Xu Liu,Xiaorui Yang,Xiaoyu Zhang,Xun Feng,Xiaoyu Zhang,Xun Feng
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2024-07-02
卷期号:458: 140311-140311
被引量:19
标识
DOI:10.1016/j.foodchem.2024.140311
摘要
The on-site detection of mancozeb in food samples holds immense value for food safety. A red-fluorescent europium complex (Eu-PYDC-Phen) has been prepared and employed as a fluorescence probe for mancozeb detection. The optimized probe suspension exhibits excellent detection performances, including a wide linear range (0-0.24 mM), low detection limit (65 nM), rapid response (2 mins) and high selectivity. Moreover, a portable detection platform was carefully designed, integrating the Eu-PYDC-Phen-based fluorescent test strips with smartphone color recognition software. This innovative platform enables visual and on-site detection of mancozeb in tomato, apple, and lettuce, achieving satisfactory recovery rates (90.34 to 106.50%). Furthermore, the integration of machine learning techniques based on hierarchical clustering algorithm has the potential to further improve the prediction and decision-making efficiency in mancozeb detection. This work provides an economical, convenient, and reliable strategy for on-site detection of pesticide in agricultural products, thereby making a meaningful contribution to food safety.
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