Inverse Laplace transformation analysis of stretched exponential relaxation.

Distribution Inhomogeneity Inverse laplace transform Spin lattice relaxation

Journal

Journal of magnetic resonance (San Diego, Calif. : 1997)
ISSN: 1096-0856
Titre abrégé: J Magn Reson
Pays: United States
ID NLM: 9707935

Informations de publication

Date de publication:
10 2021
Historique:
received: 19 06 2021
revised: 05 08 2021
accepted: 09 08 2021
pubmed: 11 9 2021
medline: 11 9 2021
entrez: 10 9 2021
Statut: ppublish

Résumé

We investigate the effectiveness of the Inverse Laplace Transform (ILT) analysis method to extract the distribution of relaxation rates from nuclear magnetic resonance data with stretched exponential relaxation. Stretched-relaxation is a hallmark of a distribution of relaxation rates, and an analytical expression exists for this distribution for the case of a spin-1/2 nucleus. We compare this theoretical distribution with those extracted via the ILT method for several values of the stretching exponent and at different levels of experimental noise. The ILT accurately captures the distributions for β≲0.7, and for signal to noise ratios greater than ∼40; however the ILT distributions tend to introduce artificial oscillatory components. We further use the ILT approach to analyze stretched relaxation for spin I>1/2 and find that the distributions are accurately captured by the theoretical expression for I=1/2. Our results provide a solid foundation to interpret distributions of relaxation rates for general spin I in terms of stretched exponential fits.

Identifiants

pubmed: 34507236
pii: S1090-7807(21)00139-7
doi: 10.1016/j.jmr.2021.107050
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

107050

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

H Choi (H)

College of Nanoscale Science and Engineering, State University of New York Polytechnic Institute, New York 12203, USA. Electronic address: hchoi@u.northwestern.edu.

I Vinograd (I)

Department of Physics, University of California, Davis, CA 95616, USA.

C Chaffey (C)

Department of Physics, University of California, Davis, CA 95616, USA.

N J Curro (NJ)

Department of Physics, University of California, Davis, CA 95616, USA. Electronic address: curro@physics.ucdavis.edu.

Classifications MeSH