title: Generalized indirect covariance NMR formalism for establishment of multidimensional spin correlations.
abstract: Multidimensional nuclear magnetic resonance (NMR) experiments measure spin-spin correlations, which provide important information about bond connectivities and molecular structure. However, direct observation of certain kinds of correlations can be very time-consuming due to limitations in sensitivity and resolution. Covariance NMR derives correlations between spins via the calculation of a (symmetric) covariance matrix, from which a matrix-square root produces a spectrum with enhanced resolution. Recently, the covariance concept has been adopted to the reconstruction of nonsymmetric spectra from pairs of 2D spectra that have a frequency dimension in common. Since the unsymmetric covariance NMR procedure lacks the matrix-square root step, it does not suppress relay effects and thereby may generate false positive signals due to chemical shift degeneracy. A generalized covariance formalism is presented here that embeds unsymmetric covariance processing within the context of the regular covariance transform. It permits the construction of unsymmetric covariance NMR spectra subjected to arbitrary matrix functions, such as the square root, with improved spectral properties. This formalism extends the domain of covariance NMR to include the reconstruction of nonsymmetric NMR spectra at resolutions or sensitivities that are superior to the ones achievable by direct measurements.
authors.affiliation: Department of Chemistry, William Paterson University, 300 Pompton Road, Wayne, New Jersey 07470, USA.
authors.forename: David A
authors.initials: DA
authors.lastname: Snyder
authors.forename: Rafael
authors.initials: R
authors.lastname: Brüschweiler
mesh_terms: D003198:Computer Simulation; D009682:Magnetic Resonance Spectroscopy / Q000592:standards*; D010455:Peptides / Q000737:chemistry; D011506:Proteins / Q000737:chemistry; D012015:Reference Standards
chemical_list: D010455:Peptides; D011506:Proteins