Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method
Rapid nondestructive detection of mixed pesticides residues on fruit surface using SERS combined with self-modeling mixture analysis method
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DOI：
10.1016/j.talanta.2020.120998
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发表时间：
2020-09-01
期刊：
影响因子：
6.1
通讯作者：
Wei, Qingyi
中科院分区：
文献类型：
--
作者：
Hu, Bingxue;Sun, Da-Wen;Wei, Qingyi
混合农药通常用于农产品，以提高农业产量。然而，它们在环境和食物中的存在对人类构成严重的健康风险。因此，需要快速可靠的混合农药残留检测方法，以最大限度地减少潜在的健康危害。采用表面增强拉曼光谱（SERS）技术结合界面自组装金纳米棒（Au NRs）阵列基底和自模拟混合物分析（SMA）方法，建立了水果表面福美双和噻菌灵混合物的无损、灵敏检测方法。首先，采用有机-水界面自组装法制备了大面积高密度Au纳米阵列，作为同时筛选水果表面福美双和TBZ的SERS敏感基底。然后，SMA方法被用来识别和分离的拉曼光谱的农药混合物的污染水果表面的拉曼光谱的每一个农药。结果表明，利用表面增强拉曼光谱技术结合SMA方法，可以同时实现对混合物光谱中单一组分的定性和定量分析，并给出了各农药的解析纯光谱。福美双在苹果、番茄和梨表面的检出限分别为0.041、0.029和0.047 ng/cm（2）; TBZ在苹果、番茄和梨表面的检出限分别为0.79、0.76和0.80 ng/cm（2）。可以预期，所提出的SERS检测方法结合SMA方法应为在农业和食品安全检测的实际应用中检测多分析物铺平道路。
Mixed pesticides are usually applied to agricultural products to enhance agricultural production. However, their presence in the environment and food poses serious health risks to humans. Therefore, rapid and reliable detection methods for mixed pesticides residues are in need to minimize potential health hazards. Herein, a nondestructive and sensitive strategy was developed to determine thiram and thiabendazole (TBZ) mixture on fruit surface using surface-enhanced Raman spectroscopy (SERS) technology coupled with interfacial self-assembly gold nanorods (Au NRs) array substrates together with self-modelling mixture analysis (SMA) method. Firstly, a large area high-density Au NRs array was fabricated by organic-aqueous interfacial self-assembly to serve as a sensitive SERS substrate for simultaneously screening of thiram and TBZ on the fruit surface. Then, an SMA method was employed to identify and separate the Raman spectrum for each pesticide from the Raman spectra of the pesticides mixture on the contaminated fruit surface. Results showed that using SERS technique with the SMA method, qualitative and quantitative analyses of a single component from the spectra of the mixture were simultaneously realized, and the resolved pure spectrum of each pesticide was presented. The limits of detection (LOD) of pesticides on the surface of apple, tomato and pear were 0.041, 0.029 and 0.047 ng/cm(2 )for thiram, and 0.79, 0.76 and 0.80 ng/cm(2) for TBZ, respectively. It was anticipated that the proposed SERS detection approach combined with SMA methods should pave the way for detecting multi-analytes in practical applications for agriculture and food safety inspection.