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Updated: Jul 10, 2026
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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
NMR diffraction and spatial statistics of stationary systems.
Science (New York, N.Y.)
|February 7, 1992
Summary
Nuclear magnetic resonance (NMR) spatial imaging offers a rapid method to analyze material density variations. This technique provides insights into granularity and porosity without needing mobility or transport time data.
Area of Science:
- Materials Science
- Physics
- Chemistry
Background:
- Nuclear magnetic resonance (NMR) spatial imaging can provide data analogous to diffraction experiments.
- Length scales in NMR are determined by gradient strengths, not radiation wavelengths.
- This method accesses sample density autocorrelations to characterize small-scale variations.
Purpose of the Study:
- To explore NMR spatial imaging for rapid characterization of bulk sample morphology.
- To investigate NMR "Patterson functions" for analyzing granularity and porosity.
Main Methods:
- Acquiring, processing, and interpreting NMR spatial imaging data.
- Utilizing gradient strengths to define length scales.
- Generating NMR "Patterson functions".
Main Results:
- NMR "Patterson functions" can be acquired orders of magnitude faster than comparable NMR images.
- This approach allows for the spatial characterization of small features in bulk materials.
- Granularity and porosity can be examined without requiring mobility, penetrants, or transport time.
Conclusions:
- NMR spatial imaging offers a rapid and effective method for material characterization.
- The NMR "Patterson function" approach is suitable for analyzing the morphology of structural materials.
- This technique provides a valuable alternative to diffusion-based methods for assessing material properties.
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