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利用纳米粒子连接免疫吸附和侧向流动免疫分析同时检测水果和蔬菜中的两种除草剂。

Simultaneous detection of two herbicides in fruits and vegetables with nanoparticle-linked immunosorbent and lateral flow immunoassays.

机构信息

Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA 99164-6515, United States.

School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, United States.

出版信息

Food Chem. 2023 Jan 15;399:133955. doi: 10.1016/j.foodchem.2022.133955. Epub 2022 Aug 17.

DOI:10.1016/j.foodchem.2022.133955
PMID:36041336
Abstract

Herbicides atrazine and acetochlor are used in crop production. Because of environmental and health hazards with respective maximum contamination levels of 3 and 20 ng/mL, quantifying these herbicides is important when considering presence in foods and vegetables. We utilized two Pd@Pt nanoparticle-amplified immunoassays, a colorimetric Pd@Pt nanoparticle-linked immunosorbent assay (NLISA) and differential pulse voltammetry (DPV) dependent on catalytic activity of Pd@Pt in a dual-lateral flow immunoassay (dual-LFIA-DPV). We achieved overall recoveries of 88.5-114 % in juice, fruit, and vegetable samples for both immunoassays. The NLISA yielded limits of detection (LODs) of 0.59 and 0.31 µg/kg and the dual-LFIA-DPV 0.27 and 0.51 µg/kg for the two respective species. Results for both immunoassays were validated by high-performance liquid chromatography (HPLC), for all food and drink samples though LODs are compromised when configuring the HPLC for both species with the same chromatogram. We expect Pd@Pt-based immunoassays to prove useful in various fields.

摘要

除草剂莠去津和乙草胺用于作物生产。由于各自的最大污染水平为 3 和 20 ng/mL 的环境和健康危害,因此在考虑食品和蔬菜中存在这些除草剂时,对其进行定量分析很重要。我们利用两种 Pd@Pt 纳米粒子放大的免疫分析方法,即比色 Pd@Pt 纳米粒子连接免疫分析(NLISA)和依赖于 Pd@Pt 在双侧向流动免疫分析(dual-LFIA-DPV)中的催化活性的差分脉冲伏安法(DPV)。我们在果汁、水果和蔬菜样品中实现了两种免疫分析方法的总体回收率为 88.5-114%。NLISA 的检测限(LOD)分别为 0.59 和 0.31 µg/kg,dual-LFIA-DPV 分别为 0.27 和 0.51 µg/kg。尽管在为两种物质配置相同的色谱图时会降低 HPLC 的 LOD,但两种免疫分析方法的结果均通过高效液相色谱法(HPLC)进行了验证,适用于所有食品和饮料样品。我们预计基于 Pd@Pt 的免疫分析将在各个领域证明有用。

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