Publication

Cross correlation of chemical-shift anisotropy and dipolar interactions in methyl protons investigated by selective nuclear magnetic resonance spectroscopy

Geoffrey Bodenhausen
1993
Journal Articles

Abstract

A group spin approach is used to describe the interconversion of magnetization modes in systems of 3 equiv. spins 1/2. The most prominent effect of cross correlation of the fluctuations of chem. shift anisotropy and dipolar interactions is the transformation of 2-quantum coherences of 2nd rank into 3rd rank coherences. A novel expt. is described which allows one to observe such a process. [on SciFinder (R)]

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Geoffrey Bodenhausen
1993
Journal Articles

Abstract

Official source

Related concepts (32)

Magnetic anisotropy

In condensed matter physics, magnetic anisotropy describes how an object's magnetic properties can be different depending on direction. In the simplest case, there is no preferential direction for an object's magnetic moment. It will respond to an applied magnetic field in the same way, regardless of which direction the field is applied. This is known as magnetic isotropy. In contrast, magnetically anisotropic materials will be easier or harder to magnetize depending on which way the object is rotated.

Nuclear magnetic resonance

Nuclear magnetic resonance (NMR) is a physical phenomenon in which nuclei in a strong constant magnetic field are perturbed by a weak oscillating magnetic field (in the near field) and respond by producing an electromagnetic signal with a frequency characteristic of the magnetic field at the nucleus. This process occurs near resonance, when the oscillation frequency matches the intrinsic frequency of the nuclei, which depends on the strength of the static magnetic field, the chemical environment, and the magnetic properties of the isotope involved; in practical applications with static magnetic fields up to ca.

Correlation

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are linearly related. Familiar examples of dependent phenomena include the correlation between the height of parents and their offspring, and the correlation between the price of a good and the quantity the consumers are willing to purchase, as it is depicted in the so-called demand curve.

Related publications (9)

Cross correlation of chemical-shift anisotropy and dipolar interactions in methyl protons investigated by selective nuclear magnetic resonance spectroscopy

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