Data processing in NMR relaxometry using the matrix pencil
[Display omitted] •The MPM provides stable, reproducible data processing in NMR relaxometry.•The MPM offers fast analysis, improved resolution, and minimal error.•Useful in the low SNR regime and complex mixtures with possible exchange. The matrix pencil method (MPM) is explored for stable, reproduc...
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Published in | Journal of magnetic resonance (1997) Vol. 313; p. 106704 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.04.2020
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Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•The MPM provides stable, reproducible data processing in NMR relaxometry.•The MPM offers fast analysis, improved resolution, and minimal error.•Useful in the low SNR regime and complex mixtures with possible exchange.
The matrix pencil method (MPM) is explored for stable, reproducible data processing in nuclear magnetic resonance (NMR) relaxometry. Data from one-dimensional and two-dimensional relaxometry experiments designed to measure transverse relaxation T2, longitudinal relaxation T1, diffusion coefficient D values, and their correlations in a standard olive oil/water mixture serve as a platform available to any NMR spectroscopist to compare the performance of the MPM to the benchmark inverse Laplace transform (ILT). The data from two practical examples, including the drying of a solvent polymer system and the enzymatic digestion of polysialic acid, were also explored with the MPM and ILT. In the cases considered here, the MPM appears to outperform the ILT in terms of resolution and stability in the determination of fundamental constants for complex materials and mixtures. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1090-7807 1096-0856 |
DOI: | 10.1016/j.jmr.2020.106704 |