View Journal Article: The Conformational Structures of Defect-Containing Chains in the Crystalline Regions of Isotactic Polypropylene
Citation:
Nyden, M. R., Vanderhart, D. L. and Alamo, R. G. (2001). The Conformational Structures of Defect-Containing Chains in the Crystalline Regions of Isotactic Polypropylene. Computational and Theoretical Polymer Science11 (3). 175-189.
Calculations were performed to assign defect-resonance patterns observed in solid state 13C NMR spectra obtained from the crystalline regions of isotactic polypropylene. The
spectral features of interest are associated with stereo, regio, and comonomer-type defects which can typically be found in metallocene-synthesized polymers. The calculations were carried out as
follows: A model of the crystalline region of defect-free isotactic polypropylene was constructed from available X-ray data corresponding to the a-lattice. A series of irregularities including
ethylene comonomer, stereo-mrrm, regio 2,1-erythro, and butylene comonomer defects were introduced one at a time at various positions in a specific stem occupying a central position in the model
crystallite. Low-lying conformations were then obtained from simulated annealing calculations that were initiated from these structures. Finally, quantum mechanical calculations were performed on
representative segments of the defect-containing chains excised from the annealed crystallites and the calculated chemical shifts were compared to the observed resonances. The results of the
calculations were used as a basis for interpreting the NMR intensities of defect-related resonances in terms of the partitioning of defects and to help establish the conformational structures of
the defect-containing stems.
Publisher
Elsevier Science
Date
2001-01-01
Copyright Notice
Array
Journal
Computational and Theoretical Polymer Science
Volume
11
Pages
175-189
Issue
3
Copyright Agreement
on
Additional Notes
Computational and Theoretical Polymer Science 2001; 11(3): 175-189; Sponsorship: R.G. Alamo acknowledges support from NSF grant # DMR9753258.