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Reference type: Journal
Authors: Khan MS, Pal S, Krupadam RJ
Article Title: Computational strategies for understanding the nature of interaction in dioxin imprinted nanoporous trappers.
Publication date: 2015
Journal: Journal of Molecular Recognition
Volume: 28
Issue: (7)
Page numbers: 427-437.
DOI: 10.1002/jmr.2459

Abstract: A new computational model capable of understanding the nature of interactions in signature complexes formed between the template (2,3,7,8-tetrachlorodibenzo-p dioxin (TCDD)) and the functional monomers (methacrylic acid (MAA)) using density functional theory (DFT) has been designed. The polymer precursors were optimized for geometries in polymerization media, computing the interaction energies between template molecules and functional monomers of transient pre-polymerized complexes (PPC), and structural and vibrational properties reference to theoretical infrared spectra were computed using DFT of B3LYP/6 311+G(d,p) hybrid functional method. Atom in molecule theory was used to analyze the hydrogen-bonding characteristics of PPC of MAA-TCDD. Considering the theoretical titrations conducted in a virtual solvent box, it was found that the 1:4 molar ratio was required to form the most stable PPC in a given solvent system. The electron density plots indicate strong hydrogen bonding as shown by the 2pz dominant highest occupied molecular orbital (HOMO) character that could be the preferable sites of binding for target molecule, TCDD. Considering HOMO approach, the active adsorption sites in molecularly imprinted polymer was modeled to get insight on molecular recognition property for targeted molecule, TCDD. The proposed computational protocol is simple, accurate, and novel to design the polymer and is useful to predict the properties of polymer systems than the conventional theoretical analysis of template-monomer interactions. Copyright 2015 John Wiley & Sons, Ltd
Template and target information: 2,3,7,8-tetrachlorodibenzo-p dioxin, TCDD
Author keywords: Density functional theory (DFT), molecularly imprinted polymers (MIP), carcinogenic pollutants, computer simulations, intermolecular interactions


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