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首页> 外文期刊>Journal of Cleaner Production >Development of a molecularly imprinted polymer for a pharmaceutical impurity in supercritical CO2: Rational design using computational approach
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Development of a molecularly imprinted polymer for a pharmaceutical impurity in supercritical CO2: Rational design using computational approach

机译:超临界CO2中药物杂质的分子印迹聚合物的开发:使用计算方法的合理设计

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Supercritical fluid technology is a green and promising alternative for the development of molecularly imprinted polymers. These affinity polymers are obtained ready-to-use, without organic solvent residues, and with controlled properties which could prompt their use in several areas. In this work, a molecularly imprinted polymer (MIP) with affinity for a model pharmaceutical impurity, acetamide, was pre-designed using a user-friendly computational approach in order to optimize MIP synthesis in supercritical CO2 . Molecular Modelling was performed using SYBYL (TM) software, introducing for the first time CO2 as solvent in the rational design of MIPs. A virtual library of functional monomers was created and screened against acetamide. The monomers giving the highest binding energy were selected and used in a simulated annealing (molecular dynamics) process to investigate their interaction with the template acetamide in the presence of CO2 as the porogen. Itaconic acid and 2-hydroxyethyl methacrylate were selected as the best monomers to interact with acetamide and the molar ratios generated were used in the MIP synthesis in supercritical carbon dioxide. Binding and selectivity experiments were performed to evaluate the affinity performance of the polymers. The experimental results indicate that itaconic acid-MIP, as predicted by SYBYL (TM), has higher affinity and selectivity to acetamide, highlighting the value of this computational tool in MIP optimization using supercritical fluid technology. (C) 2017 Elsevier Ltd. All rights reserved.
机译:超临界流体技术是开发分子印迹聚合物的绿色和有前途的替代方法。这些亲和聚合物可直接使用,没有有机溶剂残留,并且具有可控制的特性,可促使它们在多个领域中使用。在这项工作中,使用用户友好的计算方法预先设计了对模型药物杂质乙酰胺具有亲和力的分子印迹聚合物(MIP),以优化超临界CO2中的MIP合成。使用SYBYL™软件进行了分子建模,首次在MIP的合理设计中引入了以CO2作为溶剂。创建功能性单体的虚拟文库并针对乙酰胺进行筛选。选择具有最高结合能的单体,并将其用于模拟退火(分子动力学)过程中,以研究它们在作为致孔剂的CO2存在下与模板乙酰胺的相互作用。选择衣康酸和甲基丙烯酸2-羟乙酯作为与乙酰胺相互作用的最佳单体,所产生的摩尔比用于超临界二氧化碳中的MIP合成。进行结合和选择性实验以评估聚合物的亲和性能。实验结果表明,如SYBYL(TM)所预测,衣康酸MIP对乙酰胺具有更高的亲和力和选择性,突出了该计算工具在使用超临界流体技术进行MIP优化中的价值。 (C)2017 Elsevier Ltd.保留所有权利。

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