University of Oulu

Zhivonitko, V. V., Ullah, M. S., & Telkki, V.-V. (2019). Nonlinear sampling in ultrafast Laplace NMR. Journal of Magnetic Resonance, 307, 106571.

Nonlinear sampling in ultrafast Laplace NMR

Saved in:
Author: Zhivonitko, Vladimir V.1; Ullah, Md Sharif1; Telkki, Ville-Veikko1
Organizations: 1NMR Research Unit, University of Oulu, P.O. Box 3000, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link:
Language: English
Published: Elsevier, 2019
Publish Date: 2019-10-03


Ultrafast Laplace NMR (UF-LNMR) reduces the experiment time of multidimensional relaxation and diffusion measurements to a fraction. Here, we demonstrate a method for nonlinear (in this case logarithmic) sampling of the indirect dimension in UF-LNMR measurements. The method is based on the use of frequency-swept pulses with the frequency nonlinearly increasing with time. This leads to an optimized detection of exponential experimental data and significantly improved resolution of LNMR parameters.

see all

Series: Journal of magnetic resonance
ISSN: 1090-7807
ISSN-E: 1096-0856
ISSN-L: 1090-7807
Volume: 307
Article number: 106571
DOI: 10.1016/j.jmr.2019.106571
Type of Publication: A1 Journal article – refereed
Field of Science: 114 Physical sciences
116 Chemical sciences
Funding: We acknowledge the financial support of the European Research Council (ERC) under Horizon 2020 (H2020/2018-2022/ERC grant agreement no. 772110), Academy of Finland (grants #289649, 294027, 319216 and 323480), the Kvantum institute (University of Oulu), and the COST action CA15209 “European Network on NMR Relaxometry.
Academy of Finland Grant Number: 289649
Detailed Information: 289649 (Academy of Finland Funding decision)
294027 (Academy of Finland Funding decision)
319216 (Academy of Finland Funding decision)
323480 (Academy of Finland Funding decision)
Dataset Reference: Supplementary material:
Copyright information: © 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (