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计算机辅助设计磁性虚拟分子印迹聚合物固相萃取食品中十种邻苯二甲酸酯,然后用 GC-MS/MS 进行测定。

Computer-aided design of magnetic dummy molecularly imprinted polymers for solid-phase extraction of ten phthalates from food prior to their determination by GC-MS/MS.

机构信息

Life Science and Technology Institute, Yangtze Normal University, Chongqing, 408100, People's Republic of China.

Analysis and Testing Center, Xinjiang Academy of Agriculture and Reclamation Science, Shihezi, 832000, People's Republic of China.

出版信息

Mikrochim Acta. 2018 Jul 12;185(8):373. doi: 10.1007/s00604-018-2892-5.

Abstract

Magnetic dummy molecularly imprinted polymers (MDMIPs) were prepared by combining the surface imprinting technique with computer simulation for selective recognition of phthalate esters (PAEs). A computational study based on the density functional theory was performed to evaluate the template-monomer geometry and interaction energy in the prepolymerization mixture. The MDMIPs were characterized by transmission electron microscopy, scanning electron microscopy, vibrating sample magnetometry, X-ray diffraction, and Fourier transform infrared spectroscopy. They exhibited (a) high saturation magnetization of 53.14 emu g (leading to fast separation), and (b) large adsorption capacity, fast binding kinetics, and high selectivity for PAEs. Subsequently, a molecularly imprinted solid-phase extraction procedure followed by GC-MS was established for selective extraction and determination of 10 PAEs in food samples. Under the optimal experimental conditions, the response (peak area) was linear in the 0.5-100 ng mL concentration range. The limits of detection ranged from 0.15 to 1.64 ng g. The method was applied to the determination of PAEs in spiked real samples. The recoveries for 10 PAEs from various foods were in the range of 73.7%-98.1%, with relative standard deviations of 1.7%-10.2%. Graphical abstract Magnetic dummy molecularly imprinted polymers (MDMIPs) were prepared and successfully were applied as a special sorbent for the selective recognition and fast enrichment of 10 PAEs from different complex matrix.

摘要

磁性虚拟分子印迹聚合物 (MDMIPs) 通过将表面印迹技术与计算机模拟相结合,用于对邻苯二甲酸酯 (PAEs) 的选择性识别。基于密度泛函理论进行了计算研究,以评估预聚合混合物中模板-单体的几何形状和相互作用能。通过透射电子显微镜、扫描电子显微镜、振动样品磁强计、X 射线衍射和傅里叶变换红外光谱对 MDMIPs 进行了表征。它们表现出(a)高饱和磁化强度为 53.14 emu g(导致快速分离),和(b)大的吸附容量、快速的结合动力学和对 PAEs 的高选择性。随后,建立了一种分子印迹固相萃取程序,随后进行 GC-MS,用于选择性萃取和测定食品样品中的 10 种 PAEs。在最佳实验条件下,响应(峰面积)在 0.5-100 ng mL 浓度范围内呈线性。检出限范围为 0.15-1.64 ng g。该方法用于测定加标实际样品中的 PAEs。从各种食品中测定 10 种 PAEs 的回收率在 73.7%-98.1%之间,相对标准偏差为 1.7%-10.2%。 图形摘要 制备了磁性虚拟分子印迹聚合物 (MDMIPs),并成功地用作特殊吸附剂,用于从不同复杂基质中选择性识别和快速富集 10 种 PAEs。

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