基于硼酸亲和及表面分子印迹技术用于糖蛋白的富集与分离

项目名称： 基于硼酸亲和及表面分子印迹技术用于糖蛋白的富集与分离

项目编号： No.21305086

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 数理科学和化学

项目作者： 张敏

作者单位： 上海工程技术大学

项目金额： 25万元

中文摘要： 发展新的糖蛋白的富集分离方法，对糖蛋白质组学研究意义重大。糖蛋白富集分离技术是当前糖蛋白组学研究面临的一大难题。针对现有的困难，本课题拟开展硼酸亲和技术结合表面分子印迹的方法来对目标糖蛋白进行富集分离。本项目结合分子印迹-（抗原抗体技术）以及硼酸技术的特点，利用碱性条件下硼酸富集糖蛋白以及多巴胺聚合的特性，合成具有特异性识别糖蛋白印迹的纳米功能材料。在本研究项目中，我们将以四氧化三铁，银纳米线，二氧化硅包覆碳纳米管等纳米材料为基质，采用蒸馏沉淀聚合方法在其表面进行硼酸功能化，然后进行表面分子印迹制备特异性双识别功能的纳米复合材料；同时，非共价印迹糖蛋白的方法也将用来比对此方法，目的是从中找出对糖蛋白印迹的通用方法。本项目的预期成果，将会极大扩展分子印记技术在纳米材料上的应用，在技术与应用层面上将为糖蛋白的富集分离找到一条新的途径，这将对蛋白组学的发展、人类健康，均具有重要意义。

中文关键词： 蛋白质富集；分子印迹聚合物；磁性纳米粒子；聚多巴胺；金属亲和

英文摘要： Developing the new glycoprotein enrichment and seperation method is of vital importance for glycoproteomics.Glycoprotein enrichment technology has become a challenging problem in the research of the glycoprotein. In view on this, the surface molecular imprinting combined with boronic acid affinity technology will be proposed to enrich and separate the target glycoprotein. The advantage of this project is to use the molecular imprinting-(antigen-antibody technology), combining with the boric acid technique, to synthesize the molecular imprinted glycoprotein nanomaterials, on the basis of boric acid enriched glycoprotein and the dopamine polymerization under alkaline solution. Additionally, magnetic nanoparticle,Ag nanowire,silica coated carbon nanotubes were selected as carrier in this project,functionlized with boronic acid by distillation precipation polymerization, and the dual functionlization of molecular imprinted materials were synthesized. Meanwhile, the non-covalently imprinted glycoprotein method will also be used to compare this method. The objective of this comparison is to find out the general molecular imprinting method of the glycoprotein. The project will not only greatly expand the application on the molecular imprinting field for nanomaterials, but also find a novel way to enrich and separate t

英文关键词： enrichment of proteins；molecularly imprinted polymers；magnetic nanoparticles；polydopamine；metal affinity