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Jian Z Hu

Publications and source records attributed to Jian Z Hu.

2 recordsLinked to original sources

Localized in vivo isotropic-anisotropic correlation 1H NMR spectroscopy using ultraslow magic angle spinning.

In a previous work (1), the susceptibility broadening in the (1)H NMR metabolite spectrum obtained in a live mouse was separated from the isotropic information, which significantly increased the spectral resolution. This was achieved using ultraslow magic angle spinning (MAS) of the animal combined with a modified phase-corrected magic angle turning (PHORMAT) pulse sequence. However, PHORMAT cannot be used for spatially selective spectroscopy. This article introduces a modified sequence called localized magic angle turning (LOCMAT) that makes this possible. Proton LOCMAT spectra were obtained from the liver and heart of a live mouse while the animal was spun at a speed of 4 Hz in a 2 Tesla field. It was found that even in this relatively low field, LOCMAT provided isotropic line widths that were a factor of 4-10 times smaller than those obtained in a stationary animal. Furthermore, the susceptibility broadening of the heart metabolites showed unusual features that are not observed in dead animals. The limitations of LOCMAT and possible ways to improve the technique are discussed. It is concluded that in vivo LOCMAT can significantly enhance the utility of NMR spectroscopy for biomedical research.

Animals↗

Stereochemical analysis by solid-state NMR: structural predictions in ambuic acid.

Relative stereochemistry is predicted for ambuic acid using a novel solid-state NMR approach. This NMR technique entails a comparison of measured shift tensor principal values with computed values for all diastereomers, allowing the selection of a best-fit structure. The proposed method extends previous solution NMR structural data by simultaneously modeling with high statistical probability hydrogen-bonding arrangements and molecular conformation at two positions. A dimeric structure is proposed for ambuic acid based on the initial poor fit of the carboxyl carbon tensors to a monomeric model. The dimer model, consisting of hydrogen bonding between pairs of neighboring carboxyl groups, reduces the root mean square error at the carboxy tensor by a factor of 2.7. Lattice details are thus also described by the proposed approach. The structural characterization method presented is of general applicability and may be especially useful for characterizing difficult to crystallize or hydrogen-poor materials.

Carbon Isotopes↗