Molecular Simulations of Recognitive Behavior of Molecularly Imprinted Intelligent Polymeric Networks
A method simulating the formation of densely cross-linked polymeric networks was developed that incorporates both intramolecular as well as intermolecular interactions and the subsequent effects they have on the end network structure. The all-atom nature of the model allows for the simulation of network formation in a variety of conditions including differing solvent qualities, presence of inert species, as well as nonlocal effects such as polymerization in the presence of a template molecule. We employed an all-atom kinetic gelation technique that utilized an off-lattice approach that tracked the position and interaction of all atoms throughout the simulation. This model was then used to study the formation of polymeric networks capable of recognizing and binding a specific molecule out of a host of competing species. Simulation of the imprinted network formation was done using the all-atom kinetic gelation framework, which helped identify the interactions central to recognition. These results were verified by comparison with previous experimental results.
N. A. Peppas and D. Henthorn, "Molecular Simulations of Recognitive Behavior of Molecularly Imprinted Intelligent Polymeric Networks," Industrial and Engineering Chemistry Research, American Chemical Society (ACS), May 2007.
The definitive version is available at https://doi.org/10.1021/ie061369l
Chemical and Biochemical Engineering
National Science Foundation (U.S.)
Keywords and Phrases
All-atom Nature; Kinetic Gelation Framework; Polymeric Networks
Article - Journal
© 2007 American Chemical Society (ACS), All rights reserved.