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Graphene oxide embedded sandwich nanostructures for enhanced Raman readout and their applications in pesticide monitoring

机译:氧化石墨烯纳米结构嵌入三明治增强拉曼读出和他们的应用程序在农药监测

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Analytical techniques based on surface-enhanced Raman scattering (SERS) suffer from a lack of reproducibility and reliability, thus hampering their practical applications. Herein, we have developed a SERS-active substrate based on a graphene oxide embedded sandwich nanostructure for ultrasensitive Raman signal readout. By using this novel Au@Ag NPs/GO/Au@Ag NPs sandwich nanostructure as a SERS substrate, the Raman signals of analytes were dramatically enhanced due to having plenty of hot spots on their surfaces and the unique structure of the graphene oxide sheets. These features make the sandwich nanostructured film an ideal SERS substrate to improve the sensitivity, reproducibility and reliability of the Raman readout. The sandwich nanostructure film can be applied to detect rhodamine-6G (R6G) with an enhancement factor (EF) of ~7.0 x 10~7 and the pesticide thiram in commercial grape juice with a detection limit of as low as 0.1 nM (0.03 ppm), which is much lower than the maximal residue limit (MRL) of 7 ppm in fruit prescribed by the U.S. Environmental Protection Agency (EPA). The GO embedded sandwich nanostructure also has the ability to selectively detect dithiocarbamate compounds over other types of agricultural chemical. Furthermore, spiked tests show that the sandwich nanostructure can be used to monitor thiram in natural lake water and commercial grape juice without further treatment. In addition, the GO enhanced Raman spectroscopic technique offers potential practical applications for the on-site monitoring and assessment of pesticide residues in agricultural products and environments.
机译:基于表面增强的分析技术喇曼散射(ser)的缺乏重现性和可靠性,从而阻碍他们的实际应用。开发了一种基于一个SERS-active衬底氧化石墨烯纳米结构嵌入三明治超灵敏的拉曼信号读出。这部小说Au@Ag NPs /去/ Au@Ag NPs三明治纳米结构作为ser衬底,拉曼分析物的信号显著增强由于有大量的热点上石墨烯的表面和独特的结构氧化表。纳米薄膜的理想ser衬底提高灵敏度、重现性拉曼读出的可靠性。纳米结构薄膜可应用于检测rhodamine-6G (R6G)和一个增强因素(EF) ~ 7.0 x 10 ~ 7和可湿性粉剂农药商业葡萄汁的检出限低至0.1海里(0.03 ppm),这是低得多超过最大残留限度(推广)7 ppm果由美国环境规定保护署。纳米结构也有选择性的能力二硫代氨基甲酸检测化合物超过其他类型农业化学物质。测试表明,三明治纳米结构用于监视在天然湖水和福美双商业葡萄汁没有进一步的治疗。此外,去增强拉曼光谱技术提供了潜在的实际应用现场监测和评估的农业产品和农药残留环境。

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