Abstract

Laplace nuclear magnetic resonance (NMR), dealing with NMR relaxation and diffusion experiments, reveals details of molecular motion and provides chemical resolution complementary to NMR spectra. Laplace NMR has witnessed a great progress in past decades due to the development of methodology and signal processing, and it has lots of extremely interesting applications in various fields, including chemistry, biochemistry, geology, archaeology, and medicine. The aim of this minireview is to give a pedagogically oriented overview of Laplace NMR. It does not provide a full literature review of the field, but, instead, it elucidate the benefits and features of Laplace NMR methods through few selected examples. The minireview describes also recent progress in multidimensional Laplace NMR and Laplace inversion methods. Furthermore, the potential of modern hyperpolarization methods as well as ultrafast approach to increase the sensitivity and time-efficiency of the Laplace NMR experiments is highlighted.

Highlights

  • It is good to be aware that not all relaxation or diffusion experiments result in exponentially decaying data: Different behavior may be observed, for example, in NOE and restricted diffusion experiments.[1,3]

  • Sometimes, the performance of Laplace inversion is underestimated: If the Laplace nuclear magnetic resonance (LNMR) data have been measured with high SNR and proper experimental parameters, the reliability and resolution of the resulting distribution may be quite good; for example, if SNR is 1,000, peaks of equal amplitude with relaxation times and/or diffusion coefficients differing by a factor of 1.5 can be resolved.[13]

  • A penalty is introduced for zero crossings of the relaxation time or diffusion coefficient distribution

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Summary

Introduction

It is good to be aware that not all relaxation or diffusion experiments result in exponentially decaying data: Different behavior may be observed, for example, in NOE and restricted diffusion experiments.[1,3] Because the relaxation time and diffusion coefficient distributions contain detailed information about dynamics of molecules as well as spin interactions, a general goal in the LNMR experiments is to extract P(R) from the measured signal E(t).

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