Toward automated analysis of dipole-coupled NMR spectra of solutes in liquid crystals |
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| Affiliation: | 1. Department of Chemistry, Quaid-i- Azam University Islamabad, 45320, Pakistan;2. H.E.J. Research Institute of Chemistry, International Centre for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan;3. Department of Chemistry, University of Mianwali, Punjab 42200, Pakistan;4. Institute of Chemistry, University of Sargodha, Punjab 40100, Pakistan;5. Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia;6. Department of Physics, University of Sargodha, Punjab 40100, Pakistan;1. Department of Science and Mathematics Education, Ondokuz Mayıs University, Samsun, Turkey;2. Biomedical Engineering Department, Faculty of Engineering and Architecture, Kastamonu University, Turkey;3. Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Bezmialem Vakif University, İstanbul, Turkey;4. Department of Chemistry, Kastamonu University, Kastamonu, Turkey;5. Pamukova Vocational School, Sakarya University of Applied Sciences, Sakarya, Turkey;6. Department of Fundamental Sciences, Sakarya University of Applied Sciences, Sakarya, Turkey |
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| Abstract: | Dipolar-coupled spectra of molecules dissolved in liquid crystalline solvents are analyzed by applying pattern recognition procedures to two-dimensional z-filtered correlation spectra (z-COSY). Transitions that share common common energy levels can be recognized as such by recording spectra with different flip angles. This allows one to obtain a picture of the energy-level diagram without knowledge of the Hamiltonian, although in the current preliminary version of the program, the number of spins and their symmetry must be known prior to analysis. By adapting the programs NMREN and NMRIT, described bySwalen and Reilly (J Chem. Phys. 37, 21 (1962)) and Ferguson and Marquardt (J. Chem. Phys. 41, 2087 (1964)), the energies of the eigenstates derived from the spectra are assigned to the diagonal elements of the Hamiltonian in the product base. These assignments can be made without guesswork, except for states with the same quantum numbers, for which it is necessary to permute assignments by trial and error. The algorithm is iterated for different tentative assignments of the eigenstates to yield the shifts and couplings. The best Hamiltonian (best assignment) is chosen on the grounds of a comparison between simulated and experimental spectra. Examples of entirely automated analysis are shown for A3B and A2BC systems. |
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