Reliable SERS detection of pesticides with a large-scale self-assembled Au@4-MBA@Ag nanoparticle array

环己烷 化学 拉曼光谱 表面增强拉曼光谱 纳米颗粒 检出限 纳米技术 胶体金 水溶液 等离子纳米粒子 等离子体子 材料科学 分析化学(期刊) 色谱法 光电子学 有机化学 拉曼散射 光学 物理
作者
Kaiqiang Wang,Jinjie Li
出处
期刊:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy [Elsevier BV]
卷期号:263: 120218-120218 被引量:43
标识
DOI:10.1016/j.saa.2021.120218
摘要

• Interfacial self-assembled plasmonic array is a versatile platform for SERS sensing. • Au@4-MBA@Ag array was fabricated in cyclohexane/water interface. • 4-MBA was used as the internal standard to correct Raman signal fluctuations. • Au@4-MBA@Ag array was a reliable platform for SERS sensing analytes in multiphase. 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 2 of 0.986 and 0.990) as compared with those without 4-MBA correction (R 2 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.
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