Liu Ying, Wang Fang, Tan Tianwei, Lei Ming
School of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Anal Chim Acta. 2007 Jan 2;581(1):137-46. doi: 10.1016/j.aca.2006.08.015. Epub 2006 Aug 18.
In this paper, a simplified model was set up to give an insight into the properties of molecularly imprinted polymer (MIP) at molecular level using MMFF94 force field. Based on our model, the interaction energies (DeltaEs) between monomers and template or its analogues were calculated, and the most possible conformations of template or its analogues interacting with monomers in the molar ratio 1/4 were found. The obtained results using the computational and conformational analysis showed that large DeltaE meant more activity sites in the cavities in the resultant polymer giving high affinity and good selectivity, leading to a large imprinting factor and when the DeltaE differences were small, the imprinting factors were mainly determined by the activity sites. These were well consistent with the experimental results, which confirmed the validity of the model and method proposed that were believed to benefit screening molecularly imprinted systems rapidly in an experiment-free way instead of trial-and-error approach. Considering the affinity and selectivity, 2,6-bisacrylamide pyridine was predicted to be the optimal monomer used to prepare paracetamol MIP for application in quantification of drugs from the DeltaE and possible activity sites.
在本文中,建立了一个简化模型,以使用MMFF94力场在分子水平上深入了解分子印迹聚合物(MIP)的性质。基于我们的模型,计算了单体与模板或其类似物之间的相互作用能(ΔE),并找到了模板或其类似物与单体以1/4摩尔比相互作用时最可能的构象。使用计算和构象分析获得的结果表明,大的ΔE意味着所得聚合物空腔中有更多的活性位点,从而具有高亲和力和良好的选择性,导致较大的印迹因子;而当ΔE差异较小时,印迹因子主要由活性位点决定。这些与实验结果非常一致,证实了所提出的模型和方法的有效性,认为该模型和方法有利于以无实验的方式快速筛选分子印迹系统,而不是采用试错法。考虑到亲和力和选择性,从ΔE和可能的活性位点预测,2,6-双丙烯酰胺吡啶是用于制备扑热息痛MIP以用于药物定量的最佳单体。