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Original scientific paper

https://doi.org/10.1080/00051144.2022.2052649

Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain

Petar Kolar orcid id orcid.org/0000-0001-9263-7946 ; Faculty of Science, Department of Physics, University of Zagreb, Zagreb, Croatia
Lovro Blažok ; Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb, Zagreb, Croatia
Dario Bojanjac ; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia


Full text: english pdf 2.540 Kb

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Abstract

One of the challenges in modern nuclear magnetic resonance (NMR) is achieving its highest possible measuring sensitivity. This is because modern NMR samples' response signals decrease, so background noise of the used NMR spectroscopy system causes bigger problems. As a solution, both software and hardware interventions were applied. However, these improvements were obtained experimentally, so the reason for their proper operation and upper limit is usually unknown. Recently, a noise model of the NMR spectroscopy system, which shows both the reason for proper operation and the upper limit of the applied improvements, was introduced. A Javascript-based calculator, based on the introduced model, has been developed and made available online as a user-friendly website that can be run on the most commonly used Internet browsers. To the authors' knowledge, this calculator is the first of its kind that analyses noise properties in NMR. Using it, one can a priori make both sensitivity prediction of practical NMR systems in physics and material science and quantitative analysis of its noise properties. Consequently, overall measurement duration can be shortened down to one half of the current duration. This is an immense improvement, as some modern NMR measurements consume more than ten hours per measurement.

Keywords

NMR spectroscopy; noise figure; model; sensitivity enhancement; Python; Javascript

Hrčak ID:

287519

URI

https://hrcak.srce.hr/287519

Publication date:

11.4.2022.

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