A silver@gold nanoparticle tetrahedron biosensor for multiple pesticides detection based on surface-enhanced Raman scattering

被引:49
作者
Lu, Yuxiao [1 ,2 ]
Tan, Yuting [4 ]
Xiao, Yue [1 ,2 ]
Li, Zhenxi [1 ,2 ]
Sheng, Enze [1 ,2 ]
Dai, Zhihui [1 ,2 ,3 ]
机构
[1] Nanjing Normal Univ, Sch Chem & Mat Sci, Jiangsu Collaborat Innovat Ctr Biomed Funct Mat, Nanjing 210023, Peoples R China
[2] Nanjing Normal Univ, Sch Chem & Mat Sci, Jiangsu Key Lab Biofunct Mat, Nanjing 210023, Peoples R China
[3] Nanjing Normal Univ, Ctr Anal & Testing, Nanjing 210023, Peoples R China
[4] Nanjing Agr Univ, Dept Pesticide Sci, Coll Plant Protect, Nanjing 210095, Peoples R China
关键词
DNA backbone structure; Ag@Au nano-tetrahedron; SERS hotspots; Multiple pesticides detection; SENSING PLATFORM; SENSITIVE DETECTION; RESIDUES; DOTS; FOOD; DNA;
D O I
10.1016/j.talanta.2021.122585
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The detection of multiple pesticides in food and environment is of great importance for human health and safety. In this study, the DNA backbone structure and Ag@Au nanoparticles (NPs) to construct a nano-tetrahedron with the help of the surface-enhanced Raman scattering (SERS) effect by controlling the formation of SERS hotspots and subsequently realized the simultaneous detection of multiple pesticides. The DNA aptamers corresponding to the three pesticides of profenofos, acetamiprid and carbendazim were embedded into the three edges of the DNA tetrahedral skeleton, and the tetrahedral corners were connected to modify the Ag@Au NPs with different Raman signaling molecules. When aptamers recognize the related pesticides, the DNA backbone is deformed. Then Ag@Au NPs approach to each other with SERS hotspots formed and the intensity of the Raman signal increased, realizing the detection of the pesticide content. The biosensor constructed from the SERS substrate with higher sensitivity and lower detection limit (profenofos: 0.0021 ng mL-1; acetamiprid: 0.0046 ng mL-1; carbendazim: 0.0061 ng mL-1). The practicability of this proposed method was verified by adding the recovery rate detection and the accuracy of the method was examined by the analysis of the HPLC-MS method. The proposed SERS biosensor could distinguish and detect three pesticides in food and environmental samples with high sensitivity and low detection limit that can be used in practical applications.
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页数:8
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