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ucin1337716774.pdf (15.02 MB)
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Computational Chemistry and Molecular Modeling of Polyphosphazenes for Biomedical Applications
Author Info
Kroger, Jessica
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337716774
Abstract Details
Year and Degree
2012, PhD, University of Cincinnati, Engineering and Applied Science: Chemical Engineering.
Abstract
Polyphosphazenes are a unique class of polymers whose properties are attractive for a variety of biomedical applications. Consisting of a backbone of alternating phosphorus and nitrogen atoms with organic side groups attached to the phosphorus, polyphosphazenes are specifically advantageous for drug delivery which can exploit the backbone's sensitivity to hydrolytic degradation. Unfortunately, characteristic data of these polymers and the mechanisms driving hydrolysis are limited in the literature. In this study, computational chemistry and molecular modeling were used to investigate polyphosphazenes from a theoretical perspective. Properties of four biomedically relevant polyphosphazenes poly(dichlorophosphazene) (PDCP), poly(glycineethylesterphosphazene) (PGEEP), poly[bis(carboxylatophenoxy)phosphazene] (PCPP) and poly[di(imidazole)phosphazene] (PDIP) were investigated by molecular dynamics simulations. The densities obtained for these polymers ranged from 1.269 (PGEEP) to 2.174 (crystalline PDCP) g/cm¿¿¿¿. As validation of the simulation results, the glass transition temperature of PGEEP was estimated to be 255 K, in agreement with experimental results. Radial distribution functions showed evidence of hydrogen bonding in amorphous PCPP, but little or no hydrogen bonding was observed in the remaining polymers. Hydrogen bonding leads to increased electrostatic interactions in amorphous PCPP, as evidenced by the largersolubility parameter of 19.082 (J/cm¿¿¿¿)1/2 obtained for PCPP compared to 14.437, 13.928, and 14.647 (J/cm¿¿¿¿)1/2 for amorphous PDCP, PGEEP and PDIP, respectively. Time-correlation functions were calculated for each polymer to determine the relative flexibility of the backbones and side-groups of each polyphosphazene. The backbones and side-groups of both amorphous PDCP and PGEEP show significant flexibility while those of amorphous PCPP and PDIP show more limited motions. Density functional theory (DFT) calculations, including the ab initio molecular dynamics method, atom-centered density matrix propagation (ADMP), were used to investigate the hydrolysis reaction of a dichlorophosphazene (DCP) trimer. The model trimer, intermediate structures and the product of the first step of hydrolysis, were optimized using density functional theory (DFT) with the B3LYP density functional, followed by a 600 fs ADMP simulation. Natural bond order analysis (NBO) was used to determine atomic charges and electron occupancy of the bond orbitals and the lone pair orbitals of the molecule at various points along the simulation pathway. The simulation successfully shows dissociation of the trimer backbone into two distinct product molecules, shown through both increasing separation of the product units and through the more thorough NBO analysis of the bond orbitals.
Committee
Joel Fried, PhD (Committee Chair)
Stephen Clarson, PhD (Committee Member)
Vadim Guliants, PhD (Committee Member)
Chia Chi Ho, PhD (Committee Member)
Pages
152 p.
Subject Headings
Chemical Engineering
Keywords
polyphosphazenes
;
computational chemistry
;
molecular dynamics
;
ADMP
;
COMPASS forcefield
;
;
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Citations
Kroger, J. (2012).
Computational Chemistry and Molecular Modeling of Polyphosphazenes for Biomedical Applications
[Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337716774
APA Style (7th edition)
Kroger, Jessica.
Computational Chemistry and Molecular Modeling of Polyphosphazenes for Biomedical Applications.
2012. University of Cincinnati, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337716774.
MLA Style (8th edition)
Kroger, Jessica. "Computational Chemistry and Molecular Modeling of Polyphosphazenes for Biomedical Applications." Doctoral dissertation, University of Cincinnati, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337716774
Chicago Manual of Style (17th edition)
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ucin1337716774
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Copyright Info
© 2012, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.