Label-free aptamer-based sensor for specific detection of malathion residues by surface-enhanced Raman scattering

被引:72
|
作者
Nie, Yonghui [1 ]
Teng, Yuanjie [1 ]
Li, Pan [1 ]
Liu, Wenhan [1 ]
Shi, Qianwei [1 ]
Zhang, Yuchao [1 ]
机构
[1] Zhejiang Univ Technol, Coll Chem Engn, State Key Lab Breeding Base Green Chem Synth Tech, Hangzhou 310032, Zhejiang, Peoples R China
关键词
Surface-enhanced Raman scattering; Aptamer; Malathion; Pesticides; Ag colloids; ORGANOPHOSPHORUS PESTICIDES; MONOCLONAL-ANTIBODY; NANOPARTICLES; SILVER; SAMPLES; DNA; SPECTROSCOPY; IMMUNOASSAY; SENSITIVITY; BIOSENSORS;
D O I
10.1016/j.saa.2017.10.030
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
A novel label-free aptamer surface-enhanced Raman scattering (SERS) sensor for trace malathion residue detection was proposed. In this process, the binding of malathion molecule with aptamer is identified directly. The silver nanoparticles modified with positively charged spermine served as enhancing and capture reagents for the negatively charged aptamer. Then, the silver nanoparticles modified by aptamer were used to specifically capture the malathion. The SERS background spectra of spermine, aptamer, and malathion were recorded and distinguished with the spectrum of malathion-aptamer. To enhance the characteristic peak signal of malathion captured by the aptamer, the aggregate reagents (NaCl, KCl, MgCl2) were compared and selected. The selectivity of this method was verified in the mixed-pesticide standard solution, which included malathion, phosmet, chlorpyrifos-methyl, and fethion. Results show that malathion can be specifically identified when the mixed-pesticide interferences existed. The standard curve was established, presenting a good linear range of 5 x 10(-7) to 1 x 10(-5) mol . L-1. The spiked experiments for tap water show good recoveries from 87.4% to 110.5% with a relative standard deviation of less than 4.22%. Therefore, the proposed label-free aptamer SERS sensor is convenient, specifically detects trace malathion residues, and can be applied for qualitative and quantitative analysis of other pesticides. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:271 / 276
页数:6
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