The University of Southampton
University of Southampton Institutional Repository

Symmetry and phase-selected NMR spectra of liquid crystalline samples

Record type: Article

It is demonstrated that the NMR spectra of liquid crystalline samples can be simplified by using multiple quantum filtering. In a system of N spin-Image nuclei, the N or (N-1)-multiple quantum filtered spectra (NQF or (N-1)QF) contain lines which originate only from transitions among the eigenstates belonging to the highest symmetry class of the spin permutation group. In addition the NQF spectra are divided further into two sets of lines which differ in phase by 180°. A method for simulating and analysing multiple quantum filtered spectra is described, with examples from molecules with up to eight interacting spins.

Full text not available from this repository.

Citation

Carravetta, M., Castiglione, F., De Luca, G., Edgar, M., Emsley, J.W., Farrant, R.D., Foord, E.K., Lindon, J.C., Longeri, M, Palke, W.E. and Turner, David L. (1998) Symmetry and phase-selected NMR spectra of liquid crystalline samples Journal of Magnetic Resonance, 135, (2), pp. 298-309. (doi:10.1006/jmre.1998.1574).

More information

Published date: December 1998

Identifiers

Local EPrints ID: 145309
URI: http://eprints.soton.ac.uk/id/eprint/145309
PURE UUID: 7a506302-ff0c-4b9c-a1b4-bba4159048bd

Catalogue record

Date deposited: 21 Jul 2010 09:14
Last modified: 18 Jul 2017 23:06

Export record

Altmetrics

Contributors

Author: M. Carravetta
Author: F. Castiglione
Author: G. De Luca
Author: M. Edgar
Author: J.W. Emsley
Author: R.D. Farrant
Author: E.K. Foord
Author: J.C. Lindon
Author: M Longeri
Author: W.E. Palke
Author: David L. Turner

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×