College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong 266003, China.
Institute of Quartermaster Engineering and Technology, Academy of Military Sciences PLA China, Beijing 100010, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Dec 15;263:120218. doi: 10.1016/j.saa.2021.120218. Epub 2021 Jul 21.
The fabrication of sensitive and reliable interfacial plasmonic platform for measuring chemical contaminants in various phases is an exciting topic in the food industry and for environment monitoring. In this study, a high-performance surface-enhanced Raman spectroscopy (SERS) analytic platform was developed through self-assembly of the gold@4-mercaptobenzoic acid@silver nanoparticles (Au@4-MBA@Ag NPs) at the cyclohexane/water interface. By addition of the inducer ethanol, the Au@4-MBA@Ag NPs in aqueous phase was effectively migrated to the biphasic interface, forming a large-scale close-packed nanoparticle array. The average gap between adjacent nanoparticles was smaller than 3 nm, where intensive SERS "hot spots" were created for high-sensitive detection. Furthermore, using the sandwiched 4-MBA molecule as the internal standard to correct the Raman signal fluctuations, the point-to-point and batch-to-batch reproducibility of Au@4-MBA@Ag array were improved with lower relative standard deviation (RSD) values of 8.84% and 14.97%, respectively, and pesticides (thiram and thiabendazole) analysis in both aqueous and organic phases were achieved with higher accuracy (R of 0.986 and 0.990) as compared with those without 4-MBA correction (R of 0.867 and 0.974). The high-throughput fabrication of the self-assembled nanoparticle array is a promising approach for development of a sensitive and reliable SERS platform for chemical contaminants monitoring in multiphase.
在食品工业和环境监测领域,用于测量各种相态下化学污染物的灵敏可靠界面等离子体平台的构建是一个令人兴奋的课题。本研究通过金@4-巯基苯甲酸@银纳米粒子(Au@4-MBA@Ag NPs)在环己烷/水界面的自组装,开发了一种高性能的表面增强拉曼光谱(SERS)分析平台。通过添加诱导剂乙醇,水相中的 Au@4-MBA@Ag NPs 被有效迁移到两相界面,形成大规模的紧密排列纳米粒子阵列。相邻纳米粒子之间的平均间隙小于 3nm,从而产生了密集的 SERS“热点”,实现了高灵敏度检测。此外,使用夹层 4-MBA 分子作为内部标准来校正拉曼信号波动,通过 Au@4-MBA@Ag 阵列的点对点点和批对批重复性实验,提高了检测精度,相对标准偏差(RSD)值分别为 8.84%和 14.97%,与未用 4-MBA 校正时(R 值分别为 0.867 和 0.974)相比,在水相和有机相中的农药(福美双和噻菌灵)分析中具有更高的准确性(R 值分别为 0.986 和 0.990)。自组装纳米粒子阵列的高通量制备为开发用于多相化学污染物监测的灵敏可靠 SERS 平台提供了一种很有前途的方法。