Maximizing NMR Sensitivity: A Guide to Receiver Gain Adjustment

Novel methods and technology drive the rapid advances of nuclear magnetic resonance (NMR). The primary objective of developing novel hardware is to improve sensitivity and reliability (and possibly reduce cost). Automation has made NMR much more convenient, but it may lead to trusting the algorithms without regular checks. In this contribution, we analyzed the signal and signal-to-noise ratio (SNR) as a function of the receiver gain (RG) for <sup>1</sup>H, <sup>2</sup>H, <sup>13</sup>C, and <sup>15</sup>N nuclei on five spectrometers. On a 1 T benchtop spectrometer (Spinsolve, Magritek), the SNR showed the expected increase as a function of RG. Still, the <sup>1</sup>H and <sup>13</sup>C signal amplitudes deviated by up to 50% from supposedly RG-independent signal intensities. On 7, 9.4, 11.7, and 14.1 T spectrometers (Avance Neo, Bruker), the signal intensity increases linearly with RG as expected, but surprisingly, a drastic drop of SNR is observed for some X-nuclei and fields. For example, while RG = 18 provided a <sup>13</sup>C SNR similar to that at a maximum RG of 101 at 9.4 T, at RG = 20.2, the determined SNR was 32% lower. The SNR figures are strongly system and resonance frequency dependent. Our findings suggest that NMR users should test the specific spectrometer behavior to obtain optimum SNR for their experiments, as automatic RG adjustment does not account for the observed SNR characteristics. In addition, we provide a method to estimate optimal settings for thermally and hyperpolarized samples of a chosen concentration, polarization, and flip angle, which provide a high SNR and avoid ADC-overflow artefacts.

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Publication Details

Journal
NMR in Biomedicine
Published
2025-05-07
DOI
https://doi.org/10.1002/nbm.70046
Citations
3
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.27

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article

Maximizing NMR Sensitivity: A Guide to Receiver Gain Adjustment

Andrey N. Pravdivtsev, Josh P. Peters, Jan‐Bernd Hövener, Frank D. Sönnichsen
3 citations
NMR in Biomedicine
Advanced NMR Techniques and Applications
2.27
article

Maximizing NMR Sensitivity: A Guide to Receiver Gain Adjustment

Andrey N. Pravdivtsev, Josh P. Peters, Jan‐Bernd Hövener, Frank D. Sönnichsen
article en
3 citations

Abstract

Novel methods and technology drive the rapid advances of nuclear magnetic resonance (NMR). The primary objective of developing novel hardware is to improve sensitivity and reliability (and possibly reduce cost). Automation has made NMR much more convenient, but it may lead to trusting the algorithms without regular checks. In this contribution, we analyzed the signal and signal-to-noise ratio (SNR) as a function of the receiver gain (RG) for <sup>1</sup>H, <sup>2</sup>H, <sup>13</sup>C, and <sup>15</sup>N nuclei on five spectrometers. On a 1 T benchtop spectrometer (Spinsolve, Magritek), the SNR showed the expected increase as a function of RG. Still, the <sup>1</sup>H and <sup>13</sup>C signal amplitudes deviated by up to 50% from supposedly RG-independent signal intensities. On 7, 9.4, 11.7, and 14.1 T spectrometers (Avance Neo, Bruker), the signal intensity increases linearly with RG as expected, but surprisingly, a drastic drop of SNR is observed for some X-nuclei and fields. For example, while RG = 18 provided a <sup>13</sup>C SNR similar to that at a maximum RG of 101 at 9.4 T, at RG = 20.2, the determined SNR was 32% lower. The SNR figures are strongly system and resonance frequency dependent. Our findings suggest that NMR users should test the specific spectrometer behavior to obtain optimum SNR for their experiments, as automatic RG adjustment does not account for the observed SNR characteristics. In addition, we provide a method to estimate optimal settings for thermally and hyperpolarized samples of a chosen concentration, polarization, and flip angle, which provide a high SNR and avoid ADC-overflow artefacts.

NMR in BiomedicineVol. 38(6)
Christian-Albrechts-Universität zu Kiel (DE), University Hospital Schleswig-Holstein (DE), University of Lübeck (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, European Regional Development Fund
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Advanced NMR Techniques and Applications
2.27
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