National Environmental Engineering Research Institute, Nagpur, India.
J Mol Model. 2012 May;18(5):1969-81. doi: 10.1007/s00894-011-1218-x. Epub 2011 Aug 30.
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.
采用组合筛选程序从聚合物前体中选择用于制备分子印迹聚合物(MIP)的聚合物前体,该 MIP 可用于检测空气污染标志物苯并[a]芘(BAP)。分子印迹是一种用于制备具有特定分子识别受体的聚合物材料的技术。制备印迹聚合物需要聚合物前体,例如功能单体、交联单体、溶剂、聚合引发剂和热或紫外辐射。基于使用 HyperChem Release 8.0 软件计算的相互作用结合分数,制备了功能单体的虚拟库。最初,使用半经验(PM3)量子方法优化了单体和 BAP 的可能最小能量构象。使用 Hartree-Fock(HF)方法和 6-31 G 基组(基于 Moller-Plesset 二级微扰理论(MP2)的从头计算方法)计算功能单体与模板(BAP)之间的结合能。从计算结果中,选择甲基丙烯酸(MAA)和乙二醇二甲基丙烯酸酯(EGDMA)用于制备 BAP 印迹聚合物。较大的相互作用能(ΔE)表示聚合物中形成更多亲和结合位点的可能性,从而提供高结合能力。吸附实验补充了理论预测。实验结合结果与理论计算之间存在良好的一致性,这进一步证明了计算筛选程序在无实验的情况下选择合适的 MIP 前体的有效性。