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以茶氨酸为虚拟模板制备分子印迹聚合物及其作为固相萃取吸附剂用于测定烟草中18种氨基酸的应用

Preparation of molecularly imprinted polymers using theanine as dummy template and its application as SPE sorbent for the determination of eighteen amino acids in tobacco.

作者信息

Zhu Fengling, Wang Jing, Zhu Lijun, Tan Lanlan, Feng Guanglin, Liu Shaomin, Dai Ya, Wang Hua

机构信息

Department of Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, China.

Research and Development Center, China Tobacco Chuanyu Industrial Corporation, Chengdu, Sichuan 610066, China.

出版信息

Talanta. 2016 Apr 1;150:388-98. doi: 10.1016/j.talanta.2015.12.038. Epub 2015 Dec 17.

DOI:10.1016/j.talanta.2015.12.038
PMID:26838422
Abstract

In this paper, a novel dummy template molecularly imprinted polymer (DMIP) based on a vinyl-SiO2 microspheres surface for the simultaneous selective recognition and enrichment of 18 amino acids was prepared via a surface molecular imprinting technique using theanine as a dummy template. Compared to the imprinted polymers prepared using traditional polymerization techniques, the obtained DMIPs exhibited a regular spherical shape and were relatively monodisperse. The maximal sorption capacity (Qmax) of the resulting DMIPs for the 18 amino acids was up to 1444.3 mg g(-1). A kinetic binding study showed that the sorption capacity reached 85.40% of Qmax in 25 min and sorption equilibrium at 30 min. The imprint factors of the sorbents ranged from 2.86 to 6.9 for the 18 amino acids, which indicated that the DMIP sorbents have high selectivity. An HPLC-UV method for the simultaneous determination of 18 amino acids in tobacco and tobacco smoke was developed using the DMIPs as sorbents for solid phase extraction (SPE) in the sample pretreatment procedure. Under the optimum experimental conditions, the materials had enrichment factors of up to 200 for the amino acids, and the recoveries of the 18 amino acids in tobacco smoke were in the range from 79% to 104% with relative standard deviations of less than 7.4%. It indicated that the obtained DMIP sorbents could specifically recognize the amino acids from complicated samples.

摘要

本文采用表面分子印迹技术,以茶氨酸为虚拟模板,制备了一种基于乙烯基二氧化硅微球表面的新型虚拟模板分子印迹聚合物(DMIP),用于同时选择性识别和富集18种氨基酸。与使用传统聚合技术制备的印迹聚合物相比,所得的DMIP呈现规则的球形且相对单分散。所得DMIP对18种氨基酸的最大吸附容量(Qmax)高达1444.3 mg g(-1)。动力学结合研究表明,吸附容量在25分钟内达到Qmax的85.40%,并在30分钟时达到吸附平衡。吸附剂对18种氨基酸的印迹因子范围为2.86至6.9,这表明DMIP吸附剂具有高选择性。建立了一种高效液相色谱-紫外法,以DMIP作为样品预处理过程中固相萃取(SPE)的吸附剂,用于同时测定烟草和烟草烟雾中的18种氨基酸。在最佳实验条件下,该材料对氨基酸的富集因子高达200,烟草烟雾中18种氨基酸的回收率在79%至104%之间,相对标准偏差小于7.4%。这表明所获得的DMIP吸附剂能够从复杂样品中特异性识别氨基酸。

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