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基于自组装金@银异质纳米立方体单层的定量表面增强拉曼散射传感器,具有高增强因子用于实际定量检测。

Quantitative SERS sensor based on self-assembled Au@Ag heterogeneous nanocuboids monolayer with high enhancement factor for practical quantitative detection.

作者信息

Li Jingya, Wang Qianqian, Wang Juan, Li Man, Zhang Xiang, Luan Longlong, Li Pan, Xu Weiping

机构信息

Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.

Department of Biological Physics, University of Science and Technology of China, Hefei, 230026, Anhui, China.

出版信息

Anal Bioanal Chem. 2021 Jul;413(16):4207-4215. doi: 10.1007/s00216-021-03366-9. Epub 2021 May 14.

Abstract

Accurate and rapid quantitative detection of pesticide and pollutant levels in the actual sample can aid in protecting food security, environmental security, and human health. A high Raman enhancement factor and good repeatability of the surface-enhanced Raman spectroscopy (SERS) substrates are favorable to quantitative analysis. Herein, a quantitative SERS sensor based on constructed self-assembled plasmonic Au@Ag heterogeneous nanocuboids (Au@Ag NCs) monolayer was developed. The sensor was used to quantitatively detect the trace pesticides extracted from pear surfaces and pollutants in fishpond water. Densely packed Au@Ag NCs fabricated into large-scale monolayer films were chemically functionalized using 4-methyl-thiobenzoic acid (4-MBA) at the organic/aqueous interface, in which plentiful nanogaps contribute to increase hotspots. Their sharp corners and edges make the sensor have high SERS performance through providing abundant "hot spots." The obtained optically SERS-based sensor with uniform liquid-state interfacial nanoparticle arrays appeared to have nice SERS performance and uniformity using crystal violet (CV) as a probe molecule. In particular, the proposed SERS sensor was applied for quantitative detection of thiabendazole (TBZ) extracted from pear surfaces and malachite green (MG) in fishpond water down to levels of 0.0105 nM and 0.87 nM for SERS assay respectively. As a result, our proposed SERS quantitative detection strategy is quite preferred to on-site analysis and supervision of contaminant in food samples.

摘要

准确快速地定量检测实际样品中的农药和污染物水平有助于保障食品安全、环境安全和人类健康。表面增强拉曼光谱(SERS)基底具有高拉曼增强因子和良好的重复性有利于进行定量分析。在此,开发了一种基于构建的自组装等离子体Au@Ag异质纳米立方体(Au@Ag NCs)单层的定量SERS传感器。该传感器用于定量检测从梨表面提取的痕量农药和鱼塘水中的污染物。在有机/水界面使用4-甲基硫代苯甲酸(4-MBA)对制成大规模单层膜的紧密堆积的Au@Ag NCs进行化学功能化,其中大量的纳米间隙有助于增加热点。它们的尖角和棱边通过提供丰富的“热点”使传感器具有高SERS性能。使用结晶紫(CV)作为探针分子,所获得的具有均匀液态界面纳米颗粒阵列的光学SERS基传感器表现出良好的SERS性能和均匀性。特别是,所提出的SERS传感器分别用于定量检测从梨表面提取的噻菌灵(TBZ)和鱼塘水中的孔雀石绿(MG),SERS检测限分别低至0.0105 nM和0.87 nM。结果,我们提出的SERS定量检测策略非常适合食品样品中污染物的现场分析和监测。

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