Multipulse dynamic nuclear magnetic resonance of phospholipid membranes

Multipulse dynamic NMR has been employed to study molecular order and dynamics of deuteron (2H) labeled phospholipid membranes. Variation of pulse sequence and pulse separation provides the large number of independent experiments necessary for a proper molecular characterization of the systems. Analysis of these experiments is achieved by employing a density matrix formalism, based on the stochastic Liouville equation. Arbitrary relaxation rates and line shapes of single and multiple quantum transitions are considered. The various 2H NMR experiments of macroscopically unoriented bilayers of 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), specifically deuterated at the 6- and 14-position of the 2-chain, are faithfully reproduced by the model. Computer simulations provide the orientational distributions and conformations of the hydrocarbon chains and the correlation times of the various motions. In the Lα phase the correlation times τR∥ and τR⊥ for chain rotation and chain fluctuation are of the order of 10−8 s, while trans–gauche isomerization occurs significantly faster (τJ∼10−10 s). At the main transition all chain motions slow down abruptly. Further cooling in the Pβ′ phase first continuously decreases the motions. However, 10 K below the pretransition (hysteresis), there is another abrupt slow down of the chain dynamics. In the Lβ′ phase at T=265 K all three motions occur with correlation times of 10−6 to 10−5 s. Because of higher activation energies, however, intermolecular chain motions freeze out first on the time scale of a particular NMR experiment. Thus, at temperatures T<210 K, trans–gauche isomerization becomes the dominant process. Detection of this motion is possible even at T=168 K, where τJ is of the order of 10−4 s. Arrhenius plots of the various correlation times provide the motional activation energies. Values of 9 0.95, SZ′Z′ (C-6)>0.95, and SZ′Z′ (C-13)>0.9, consistent with highly ordered, fully extended hydrocarbon chains.