Abstract
Rotaxane synthesis via the statistical method depends upon various geometric considerations such as the ring size of the macrocyclic components. In this paper, we examine the conformational statistics for a series of crown ethers (18-crown-6, 24-crown-8, 30-crown-10, and 36-crown-12) in terms of their average radius, radius of gyration, and intramolecular oxygen-oxygen distances. We conduct NPT Monte Carlo simulations to examine these properties as a function of solvent polarity at 25°C and 1 atmosphere pressure. We find that the crowns are more accessible to statistical threading in water than in carbon tetrachloride from the viewpoint of ring size. However, the macrocycles are more distorted (ellipsoidal) in CCl4, thus opening up the possibility of preparing rotaxanes where the macrocyles discriminate between linear chains with differently shaped monomers depending upon the solvent used. Results regarding the scaling of the radius of gyration with molecular weight for the cyclic molecules are also presented.
Original language | English |
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Pages (from-to) | 2859-2866 |
Number of pages | 8 |
Journal | Chemical Engineering Science |
Volume | 49 |
Issue number | 17 |
DOIs | |
State | Published - Sep 1994 |
Externally published | Yes |
Bibliographical note
Funding Information:AcknowledgementsAKC would like to thank Prof. Harry Gibson for bringing this problem to our attention during the US-France Workshop on High Performance Polymers held at Annecy, France in June 1992. Financial support for this work was provided by a Shell Foundation Young Faculty Fellowship to AKC and a University of California Mentor Fellowship to YLH. The authors also thank the San Diego Supercomputer Center and the Pittsburgh Supercomputing Center for generous allocations of Cray computing time
Funding
AcknowledgementsAKC would like to thank Prof. Harry Gibson for bringing this problem to our attention during the US-France Workshop on High Performance Polymers held at Annecy, France in June 1992. Financial support for this work was provided by a Shell Foundation Young Faculty Fellowship to AKC and a University of California Mentor Fellowship to YLH. The authors also thank the San Diego Supercomputer Center and the Pittsburgh Supercomputing Center for generous allocations of Cray computing time
Funders | Funder number |
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Shell Foundation | |
University of California |