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Combinatorial screening of polymer precursors for preparation of benzo[α] pyrene imprinted polymer: an ab initio computational approach

机译:用于制备苯并[α] pyr印迹聚合物的聚合物前体的组合筛选:从头算的方法

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A combinatorial screening procedure was used for the selection of polymer precursors in the preparation of molecularly imprinted polymer (MIP), which is useful in the detection of the air pollution marker molecule benzo[a]pyrene (BAP). Molecular imprinting is a technique for the preparation of polymer materials with specific molecular recognition receptors. The preparation of imprinted polymers requires polymer precursors such as functional monomer, cross-linking monomer, solvent, an initiator of polymerization and thermal or UV radiation. A virtual library of functional monomers was prepared based on interaction binding scores computed using HyperChem Release 8.0 software. Initially, the possible minimum energy conformation of the monomers and BAP were optimized using the semi-empirical (PM3) quantum method. The binding energy between the functional monomer and the template (BAP) was computed using the Hartree-Fock (HF) method with 6-31 G basis set, which is an ab initio approach based on Moller-Plesset second order perturbation theory (MP2). From the computations, methacrylic acid (MAA) and ethylene glycol dimethacrylate (EGDMA) were selected for preparation of BAP imprinted polymer. The larger interaction energy (ΔE) represents possibility of more affinity binding sites formation in the polymer, which provides high binding capacity. The theoretical predictions were complimented through adsorption experiments. There is a good agreement between experimental binding results and theoretical computations, which provides further evidence of the validity of the usefulness of computational screening procedures in the selection of appropriate MIP precursors in an experiment-free way.
机译:在制备分子印迹聚合物(MIP)时使用组合筛选程序选择聚合物前体,该方法可用于检测空气污染标记分子苯并[a] re(BAP)。分子印迹是一种制备具有特定分子识别受体的聚合物材料的技术。印迹聚合物的制备需要聚合物前体,例如功能单体,交联单体,溶剂,聚合引发剂以及热辐射或紫外线辐射。基于使用HyperChem Release 8.0软件计算的相互作用结合得分,制备了功能单体的虚拟文库。最初,使用半经验(PM3)量子方法优化了单体和BAP的可能的最小能量构象。使用Hartree-Fock(HF)方法以6-31 G基础集计算功能单体与模板(BAP)之间的结合能,这是一种基于Moller-Plesset二阶摄动理论(MP2)的从头算方法。通过计算,选择了甲基丙烯酸(MAA)和乙二醇二甲基丙烯酸酯(EGDMA)来制备BAP印迹聚合物。较大的相互作用能(ΔE)表示在聚合物中形成更多亲和力结合位点的可能性,这提供了高结合能力。通过吸附实验对理论预测进行了补充。在实验结合结果和理论计算之间达成了良好的协议,这为无筛选方式选择合适的MIP前体提供了计算机筛选程序有效性的进一步证据。

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