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基于离子液体稳定的Mn-ZnS量子点和共价有机框架的三维光谱结合化学计量学用于农药残留的鉴别

Triple-dimensional spectroscopy combined with chemometrics for the discrimination of pesticide residues based on ionic liquid-stabilized Mn-ZnS quantum dots and covalent organic frameworks.

作者信息

Yuan Xinyue, Zhang Dianwei, Zhu Xuecheng, Liu Huilin, Sun Baoguo

机构信息

Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No. 11 Fucheng Road, Beijing 100048, China.

Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, No. 11 Fucheng Road, Beijing 100048, China.

出版信息

Food Chem. 2021 Apr 16;342:128299. doi: 10.1016/j.foodchem.2020.128299. Epub 2020 Oct 16.

Abstract

Manganese-doped zinc sulfide quantum dots (Mn-ZnS QDs) are promising candidates for multi-channel sensing analysis due to their multi-dimensional optical properties. In this study, we integrated amino-silane and ionic liquid co-modified Mn-ZnS QDs and covalent organic frameworks (COFs) into optosensing nanoparticles to provide triple-dimensional optical response signals and combined them with chemometrics for the analysis of multiple pesticide residues. Through the exploration and optimization of a series of conditions, fluorescence, room temperature phosphorescence, and ultraviolet-visible combined with chemometrics were used for the discrimination and recognition of multiple pesticide residues in fruits and vegetables. The ionic liquid of 1-vinyl-3-ethylimidazolium tetrafluoroborate was used to modify Mn-ZnS QDs to improve the optical response and enrichment of pesticide adsorption sites, which were also synergistically enhanced by the COF support. This is a potential method to discriminate pesticides efficiently and enables fast and reliable analysis of pesticides in the agricultural and food industries.

摘要

锰掺杂硫化锌量子点(Mn-ZnS QDs)因其多维光学性质而成为多通道传感分析的有前途的候选材料。在本研究中,我们将氨基硅烷和离子液体共修饰的Mn-ZnS QDs与共价有机框架(COFs)整合到光传感纳米颗粒中,以提供三维光学响应信号,并将它们与化学计量学相结合用于多种农药残留的分析。通过一系列条件的探索和优化,利用荧光、室温磷光以及紫外-可见光谱结合化学计量学对水果和蔬菜中的多种农药残留进行鉴别和识别。使用1-乙烯基-3-乙基咪唑四氟硼酸盐离子液体修饰Mn-ZnS QDs,以改善光学响应并增加农药吸附位点的富集,COF载体也对其起到协同增强作用。这是一种有效鉴别农药的潜在方法,能够对农业和食品行业中的农药进行快速可靠的分析。

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