Date of Award
1-1-2017
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Nanoscale Science and Engineering
Program
Nanoscale Engineering
Content Description
1 online resource (ii, xix, 157 pages) : illustrations (some color)
Dissertation/Thesis Chair
Susan T Sharfstein
Committee Members
Alan Chen, Jodi O'Donnell, Nathaniel Cady
Keywords
Computational Chemistry, Docking, Molecular Dynamics, Molecularly Imprinted Polymers, Quantum Mechanics, Selectivity, Imprinted polymers, Molecular imprinting, Chemical detectors, Chirality, Molecular dynamics, Nanostructured materials
Subject Categories
Materials Science and Engineering | Nanoscience and Nanotechnology | Other Chemistry
Abstract
Molecularly imprinted polymers (MIPs) are a class of materials containing sites capable of selectively binding to the imprinted target molecule. Computational chemistry techniques were used to study the effect of different fabrication parameters (the monomer-to-target ratios, pre-polymerization solvent, temperature, and pH) on the formation of the MIP binding sites. Imprinted binding sites were built in silico for the purposes of better characterizing the receptor – ligand interactions. Chiefly, the sites were characterized with respect to their selectivities and the heterogeneity between sites.
Recommended Citation
Terracina, Jacob Jordan, "Computational optimization and characterization of molecularly imprinted polymers" (2017). Legacy Theses & Dissertations (2009 - 2024). 1963.
https://scholarsarchive.library.albany.edu/legacy-etd/1963
Included in
Materials Science and Engineering Commons, Nanoscience and Nanotechnology Commons, Other Chemistry Commons