Articles | Volume 2, issue 2
https://doi.org/10.5194/mr-2-733-2021
https://doi.org/10.5194/mr-2-733-2021
Research article
 | 
06 Oct 2021
Research article |  | 06 Oct 2021

Signal-to-noise ratio in diffusion-ordered spectroscopy: how good is good enough?

Jamie Guest, Peter Kiraly, Mathias Nilsson, and Gareth A. Morris

Related subject area

Field: Liquid-state NMR | Topic: Applications – small molecules
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Revised manuscript accepted for MR
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Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment
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Cited articles

Barbosa, T. M., Rittner, R., Tormena, C. F., Morris, G. A., and Nilsson, M.: Convection in liquid-state NMR: expect the unexpected, RSC Advs. 6, 95173–95176, https://doi.org/10.1039/C6RA23427E, 2016. 
Botana, A., Aguilar, J. A., Nilsson, M., and Morris, G. A.: J-modulation effects in DOSY experiments and their suppression: The Oneshot45 experiment, J. Magn. Reson., 208, 270–278, https://doi.org/10.1016/j.jmr.2010.11.012, 2011. 
Brihuega-Moreno, O., Heese, F. P., and Hall, L. D.: Optimization of Diffusion Measurements Using Cramer-Rao Lower Bound Theory and Its Application to Articular Cartilage, Magn. Reson. Med., 50, 1069–1076, https://doi.org/10.1002/mrm.10628, 2003. 
Connell, M. A., Bowyer, P. J., Bone, P. A., Davis, A. L., Swanson, A. G., Nilsson, M., and Morris, G. A.: Improving the accuracy of pulsed field gradient NMR diffusion experiments: Correction for gradient non-uniformity, J. Magn. Reson., 198, 121–131, https://doi.org/10.1016/j.jmr.2009.01.025, 2009. 
Dal Poggetto, G., CastanÞar, L., Adams, R. W., Morris, G. A., and Nilsson, M: Relaxation-encoded NMR experiments for mixture analysis: REST and beer, Chem. Commun., 53, 7461–7464, https://doi.org/10.1039/c7cc03150e, 2017. 
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Short summary
Diffusion-ordered spectroscopy (DOSY) seeks to distinguish between the NMR signals of chemical species of different sizes, using experimental measurements of spectra with different diffusion weighting. This paper examines how the signal-to-noise ratio of the experimental data influences the ability to distinguish small differences in diffusion coefficient between species.