Preparation of magnetic molecularly imprinted polymer for selective recognition of resveratrol in wine

Preparation of magnetic molecularly imprinted polymer for selective recognition of resveratrol in wine
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磁性分子印迹聚合物的制备用于选择性识别葡萄酒中的白藜芦醇

DOI:
10.1016/j.chroma.2013.02.018
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发表时间:
2013-07-26
影响因子:
4.1
通讯作者:
Shi, Yan-Ping
Shi, Yan-Ping
中科院分区:
化学2区
文献类型:
--
作者:
Chen, Fang-Fang;Xie, Xiao-Yu;Shi, Yan-Ping

文献摘要

被引文献

相似文献

以超顺磁性核壳纳米粒子为载体,采用表面分子印迹技术制备了白藜芦醇磁性分子印迹聚合物。为了避免微量白藜芦醇的泄漏,选择了白藜芦醇类似物漏芦素作为虚拟模板分子。分别选择丙烯酰胺和乙二醇二甲基丙烯酸酯作为功能单体和交联剂。采用扫描电镜、傅里叶变换红外光谱、X射线衍射和振动样品磁强计对所制备的MMIPs进行了表征。采用高效液相色谱法对目标物进行分析。所得MMIPs具有53.14 emu g(-1)的高饱和磁化强度,导致快速分离。吸附实验表明,MMIPs对白藜芦醇具有较高的吸附容量,且具有均一的结合位点。将其作为固相萃取吸附剂用于真实的葡萄酒样品中白藜芦醇的测定,加标回收率为79.3%~ 90.6%,检出限为4.42 ng/mL。所制备的MMIPs可用于葡萄酒样品中白藜芦醇的选择性预富集和测定。(C)2013爱思唯尔有限公司版权所有。
The magnetic molecularly imprinted polymers (MMIPs) for resveratrol were prepared by using surface molecular imprinting technique with a super paramagnetic core-shell nanoparticle as a supporter. Rhapontigenin, which is the analogues of resveratrol, was selected as dummy template molecules to avoid the leakage of trace amount of resveratrol. Acrylamide and ethylene glycol dimethacrylate were chosen as functional monomers and cross-linker, respectively. The obtained MMIPs were characterized by using scanning electron microscopy, Fourier transform infrared spectrum, X-ray diffraction and vibrating sample magnetometer. High performance liquid chromatography was used to analyze the target analytes. The resulting MMIPs exhibited high saturation magnetization of 53.14 emu g(-1) leading to the fast separation. The adsorption test showed that the MMIPs had high adsorption capacity for resveratrol and contained homogeneous binding sites. The MMIPs were employed as adsorbent of solid phase extraction for determination of resveratrol in real wine samples, and the recoveries of spiked samples ranged from 79.3% to 90.6% with the limit of detection of 4.42 ng mL(-1). The prepared MMIPs could be employed to selectively pre-concentrate and determine resveratrol from wine samples. (C) 2013 Elsevier B.V. All rights reserved.