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利用具有 SERS 标记的疏水性界面构建 3D 热点,用于定量检测食物表面的农药残留。

3D hot spot construction on the hydrophobic interface with SERS tags for quantitative detection of pesticide residues on food surface.

机构信息

College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.

School of Ocean Information Engineering, Jimei University, Xiamen 361021, China.

出版信息

Food Chem. 2025 Jan 15;463(Pt 3):141391. doi: 10.1016/j.foodchem.2024.141391. Epub 2024 Sep 21.

Abstract

The overuse of pesticides results in excessive pesticide residues, posing a potential threat to human health. Herein, this work proposes a SERS substrate for the quantitative analysis of pesticide residues on food surfaces. Au cores are assembled on PS microspheres, followed by the modification of Raman internal standards (1,4-BDT) on the gold core surface and the growth of the Au shell. After incubating the analytes with PS@Au@1,4-BDT@Au particles, the mixture is dropped on the hydrophobic gold film for drying before detection. The SERS substrates exhibited high sensitivity and stability, with a detection limit of 10 M and an RSD of less than 7 %. Combined with a portable Raman spectrometer, the SERS detection of pesticide residues on three kinds of food surfaces is carried out, with a sensitivity of 10 M, meeting the US MRLs regulations. Therefore, this strategy may possess significant potential for future food safety.

摘要

过度使用农药会导致农药残留过多,对人类健康构成潜在威胁。在此,本工作提出了一种用于食品表面农药残留定量分析的 SERS 基底。Au 核组装在 PS 微球上,然后在金核表面修饰拉曼内标物(1,4-BDT)并生长 Au 壳。将分析物与 PS@Au@1,4-BDT@Au 颗粒孵育后,将混合物滴在疏水金膜上干燥,然后进行检测。SERS 基底表现出高灵敏度和稳定性,检测限为 10 M,RSD 小于 7%。结合便携式拉曼光谱仪,对三种食品表面的农药残留进行了 SERS 检测,灵敏度为 10 M,符合美国 MRLs 法规。因此,该策略在未来的食品安全中可能具有重要的应用潜力。

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