Articles | Volume 3, issue 2
Magn. Reson., 3, 183–202, 2022
https://doi.org/10.5194/mr-3-183-2022
Magn. Reson., 3, 183–202, 2022
https://doi.org/10.5194/mr-3-183-2022
Research article
29 Sep 2022
Research article | 29 Sep 2022

Fine optimization of a dissolution dynamic nuclear polarization experimental setting for 13C NMR of metabolic samples

Arnab Dey et al.

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Cited articles

Ardenkjær-Larsen, J. H., Fridlund, B., Gram, A., Hansson, G., Hansson, L., Lerche, M. H., Servin, R., Thaning, M., and Golman, K.: Increase in signal-to-noise ratio of > 10 000 times in liquid-state NMR, P. Natl. Acad. Sci. USA, 100, 10158–10163, https://doi.org/10.1073/pnas.1733835100, 2003. 
Batel, M., Däpp, A., Hunkeler, A., Meier, B. H., Kozerke, S., and Ernst, M.: Cross-polarization for dissolution dynamic nuclear polarization, Phys. Chem. Chem. Phys., 16, 21407–21416, https://doi.org/10.1039/C4CP02696A, 2014. 
Bornet, A., Melzi, R., Perez Linde, A. J., Hautle, P., van den Brandt, B., Jannin, S., and Bodenhausen, G.: Boosting Dissolution Dynamic Nuclear Polarization by Cross Polarization, J. Phys. Chem. Lett., 4, 111–114, https://doi.org/10.1021/jz301781t, 2013. 
Bornet, A., Milani, J., Vuichoud, B., Perez Linde, A. J., Bodenhausen, G., and Jannin, S.: Microwave frequency modulation to enhance Dissolution Dynamic Nuclear Polarization, Chem. Phys. Lett., 602, 63–67, https://doi.org/10.1016/j.cplett.2014.04.013, 2014. 
Bornet, A., Maucourt, M., Deborde, C., Jacob, D., Milani, J., Vuichoud, B., Ji, X., Dumez, J.-N., Moing, A., Bodenhausen, G., Jannin, S., and Giraudeau, P.: Highly Repeatable Dissolution Dynamic Nuclear Polarization for Heteronuclear NMR Metabolomics, Anal. Chem., 88, 6179–6183, https://doi.org/10.1021/acs.analchem.6b01094, 2016a. 
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Short summary
Nuclear magnetic resonance (NMR) is a great tool for analytical chemistry, but it is not the most sensitive one. This work aims to develop a sensitive and repeatable workflow for the analysis of complex samples by hyperpolarized 13C NMR. Through systematic and careful optimization of experimental parameters, we were able to achieve unprecedented sensitivity for the analysis of naturally abundant metabolite mixtures while maintaining the precision required for metabolomic studies.