MoS2/Au/Ag Nanostructures for Ratiometric Surface-Enhanced Raman Scattering Determination of Pesticide Residues

被引:11
|
作者
Yu, Xingxing [1 ]
Sun, Yan [1 ]
Hu, Jieyu [1 ]
Wang, Junjie [1 ]
Zhuang, Xiumei [1 ]
Zhang, Shenghao [1 ]
Ren, Haiting [1 ]
Qiu, Hongxing [1 ]
Zhang, Yueshou [1 ]
Hu, Yongjun [1 ]
机构
[1] South China Normal Univ, Coll Biophoton, Guangdong Prov Key Lab Laser Life Sci, Guangzhou 510631, Peoples R China
基金
中国国家自然科学基金;
关键词
SERS; MoS2; internal standard; SERS substrates; pesticide residues; CORE-SHELL NANOPARTICLES; SERS; AU; AG; GRAPHENE;
D O I
10.1021/acsanm.2c04843
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Surface-enhanced Raman scattering (SERS) is a promising method for rapid and sensitive detection of pesticide residues. Herein, a three-dimensional MoS2/Au/Ag nanostructure was developed by employing composite systems containing semiconductors, noble metal nanoparticles, and internal standard. The MoS2 nanoflowers provide abundant anchors for the loading of plasmonic nanoparticles so as to generate intense electromagnetic "hot spots," and the Au-MBN/Ag nanostructures can increase the accuracy of SERS detection with the calibration ability of the internal standard molecules (4-mercaptobenzonitrile, 4-MBN). Therefore, the MoS2/Au/Ag nanostructures integrate the advan-tages of high-enhancement SERS substrates and high-accuracy ratiometric Raman detection. Moreover, the nanostructures were fabricated via a facile procedure and showed high sensitivity, accuracy, and reproducibility in SERS detection. The nanostructures also showed good linear fitting between the ratios of Raman intensity and logarithmic concentrations of analytes in ratiometric SERS analysis. In addition, thiabendazole (TBZ) in apple juice was successfully detected by using the as-prepared SERS substrates with a limit of detection down to 0.1 ppm in practical applications. To conclude, the MoS2/Au/Ag nanostructures showed excellent SERS activity in ratiometric analysis and the substrate is expected to have great potential for the quantitative detection of low-concentration pesticide residues.
引用
收藏
页码:685 / 694
页数:10
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