College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, 450002, China.
Anal Bioanal Chem. 2024 Jan;416(2):497-508. doi: 10.1007/s00216-023-05055-1. Epub 2023 Nov 25.
Pesticides that linger in the environment and ecosystems for an extended period can cause severe and dangerous health problems in humans. To detect pesticides in foods, the development of high-sensitivity and quick screening technologies was required. This research investigated the performance of Au@Ag NPs with varying thicknesses of the silver shell for detecting trace quantities of thiabendazole (TBZ) in apples using surface-enhanced Raman spectroscopy (SERS). The Au@Ag NPs were synthesized by coating 32 nm gold seeds with different thicknesses of silver shell ranging from 2.4 to 8.7 nm, achieved by adjusting the incorporation of AgNO and ascorbic acid. The optimized Au@Ag NPs with a 7.3 nm silver shell demonstrated outstanding SERS activity, high sensitivity, and a detection limit of 0.05 μg/mL for TBZ. The R values, representing the goodness of fit, were found to be 0.990 and 0.986 for standard and real TBZ samples, respectively, indicating a strong correlation between the measured signal and the TBZ concentration. The recovery analysis showed a reliable and accurate detection capability (96 to 105%), suggesting good reliability and accuracy of the SERS-based detection using the optimal Au@Ag NPs. Overall, this research highlights the potential of SERS with optimal Au@Ag NPs for rapid and effective monitoring of pesticides in the food industry.
在环境和生态系统中残留时间较长的农药会对人类健康造成严重和危险的问题。为了检测食品中的农药,需要开发高灵敏度和快速筛选技术。本研究利用表面增强拉曼光谱(SERS)研究了不同银壳厚度的 Au@Ag NPs 对检测苹果中噻菌灵(TBZ)痕量的性能。Au@Ag NPs 通过在 32nm 金种子上涂覆不同厚度的银壳(范围从 2.4 到 8.7nm)来合成,通过调整 AgNO 和抗坏血酸的加入量来实现。具有 7.3nm 银壳的优化 Au@Ag NPs 表现出出色的 SERS 活性、高灵敏度和检测限为 0.05μg/mL 的 TBZ。代表拟合优度的 R 值分别为 0.990 和 0.986,用于标准和实际 TBZ 样品,表明测量信号与 TBZ 浓度之间存在很强的相关性。回收分析表明具有可靠和准确的检测能力(96 到 105%),表明使用最佳 Au@Ag NPs 的基于 SERS 的检测具有良好的可靠性和准确性。总的来说,本研究强调了 SERS 与最佳 Au@Ag NPs 结合用于快速有效监测食品工业中农药的潜力。