Multiple-quantum magic-angle spinning spectroscopy using nonlinear sampling

• Published in: Journal of magnetic resonance (1997) Vol. 161; no. 1; pp. 43 - 55
• Main Authors: Rovnyak, David, Filip, Claudiu, Itin, Boris, Stern, Alan S., Wagner, Gerhard, Griffin, Robert G., Hoch, Jeffrey C.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-03-2003
• Subjects: Anisotropy; Asparagine - chemistry; Fourier Analysis; Maximum entropy reconstruction; MQMAS; Multi-dimensional NMR; Nonlinear sampling; Nuclear Magnetic Resonance, Biomolecular - methods; Oxygen Compounds - chemistry; Oxygen-17; Quadrupolar nuclei; Signal Processing, Computer-Assisted; Quadrupolar nuclei; Nonlinear sampling; MQMAS; Oxygen-17; Maximum entropy reconstruction; Multi-dimensional NMR
• ISSN: 1090-7807; 1096-0856
• DOI: 10.1016/S1090-7807(02)00189-1

NMR spectroscopy is a relatively insensitive technique and many biomolecular applications operate near the limits of sensitivity and resolution. A particularly challenging example is detection of the quadrupolar nucleus
17
O
, due to its low natural abundance, large quadrupole couplings, and low gyromagnetic ratio. Yet the chemical shift of
17
O
spans almost 1000
ppm in organic molecules and it serves as a potentially unique reporter of hydrogen bonding in peptides, nucleic acids, and water, and as a valuable complement to
13
C
and
15
N
NMR. Recent developments including the multiple-quantum magic-angle spinning (MQMAS) experiment have enabled the detection of
17
O
in biological solids, but very long data acquisitions are required to achieve sufficient sensitivity and resolution. Here, we perform nonlinear sampling in the indirect dimension of MQMAS experiments to substantially reduce the total acquisition time and improve sensitivity and resolution. Nonlinear sampling prevents the use of the discrete Fourier transform; instead, we employ maximum entropy (MaxEnt) reconstruction. Nonlinearly sampled MQMAS spectra are shown to provide high resolution and sensitivity in several systems, including lithium sulfate monohydrate
(
LiSO
4
-H
2
17
O)
and
l-asparagine monohydrate
(
H
2
17
O)
. The combination of nonlinear sampling and MaxEnt reconstruction promises to make the application of
17
O
MQMAS practical in a wider range of biological systems.