Highly sensitive surface-enhanced Raman scattering detection of organic pesticides based on Ag-nanoplate decorated graphene-sheets
Highly sensitive surface-enhanced Raman scattering detection of organic pesticides based on Ag-nanoplate decorated graphene-sheets
复制标题
基于银纳米板修饰石墨烯片的高灵敏表面增强拉曼散射检测有机农药
DOI：
10.1016/j.apsusc.2019.05.008
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发表时间：
2019
影响因子：
6.7
通讯作者：
Lei Yong
中科院分区：
文献类型：
--
作者：
Wang Xiujuan;Zhu Chuhong;Hu Xiaoye;Xu Qiaoling;Zhao Huaping;Meng Guowen;Lei Yong
有机农药在现代农业中应用广泛。它们在食物、水和土壤中的残留对人类健康构成巨大威胁。表面增强拉曼散射（Sers）技术具有灵敏度高、结构信息丰富等优点，是检测痕量有机农药的有力工具。本论文构建了一种基于银纳米片修饰石墨烯的高灵敏Sers基底，用于有机农药的超灵敏Sers检测。银纳米片被石墨烯固定并彼此紧密接触，为SERS信号放大创造了“热点”。另一方面，石墨烯片由于其强吸附能力和与农药分子的π − π相互作用，更容易用作农药分子。因此，银纳米片@石墨烯杂化物（Ag-NP@GH）基底显示出高灵敏度，用于检测痕量级有机农药，包括福美双和甲基双硫磷（MP）及其混合物。福美双和MP的检测限分别低至40 nM和600 nM。此外，拉曼强度与分子浓度之间具有良好的线性关系，表明Ag-NP@GH基底在定量Sers检测中具有潜在的应用价值。重要的是，Ag-NP@GH底物显示出良好的SERS信号再现性，相对信号偏差低至5.6%。这些结果表明Ag-NP@GH作为有效的Sers基底用于环境中痕量有机农药的快速检测具有很高的潜力。
Organic pesticides are widely used in the modern agriculture. Their residues in food, water and soil pose a huge threat to human health. Surface-enhanced Raman scattering (SERS) spectroscopy is a powerful tool for detecting trace organic pesticides due to its high sensitivity and rich fingerprinting structure information for molecules. In this work, we construct a highly sensitive SERS substrate based on Ag-nanoplates decorated graphene-sheets for ultra-sensitive SERS detection of organic pesticides. The Ag-nanoplates are holded by the graphene and stay closely to each other, creating “hot spots” for SERS-signal amplification. On the other hand, the graphene sheets can serve as pesticides molecules assemblier because of its strong absorption ability and π − π interaction with pesticides molecules. Therefore, the Ag-nanoplates@graphene hybrids (Ag-NP@GH) substrate shows high sensitivity for detecting trace-level organic pesticides, including thiram and methyl parathion (MP), and their mixtures. The limit of detection for thiram and MP was as low as 40 nM and 600 nM, respectively. In addition, a good linear relationship between the Raman intensity and molecular concentration was obtained, indicating the potential application of the Ag-NP@GH substrate for quantitative SERS detection. Importantly, the Ag-NP@GH substrate shows good SERS-signal reproducibility with a relative signal deviation down to 5.6%. These results show high potential of the Ag-NP@GH as effective SERS substrates for rapid detection of trace-level organic pesticides in environment.