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Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics.

Publication ,  Journal Article
Mandzhieva, I; Theiss, F; He, X; Ortmeier, A; Koirala, A; McBride, SJ; DeVience, SJ; Rosen, MS; Blum, V; Theis, T
Published in: Journal of chemical information and modeling
July 2025

NMR is usually performed at magnetic fields of 1 T and above to obtain sufficient sensitivity and spectral dispersion to identify chemicals based on chemical shifts and J-couplings. At lower fields, the advent of hyperpolarization technologies and sensitive detectors can address sensitivity concerns. However, it remains disputed whether spectral signatures at zero and ultralow fields are sufficient for chemical identification. Here, we report an all-electron DFT-based batch calculation of J-coupling constants, which are used to generate J-coupling NMR spectra at zero field and 6.5 mT for over 200 small molecules. In the developed computational tool chain, we first used the all-electron FHI-aims code to calculate the molecular J-couplings and chemical shifts. We then fed the calculated NMR parameters into the NMR simulation package SPINACH to simulate both heteronuclear J-coupling spectra at zero-field and homonuclear J-coupling spectra as spin-lock induced crossing (SLIC) spectra at ultralow field (6.5 mT). The resulting spectra demonstrate that zero and ultralow field NMR spectra can represent unique identifiers of chemical structure for small molecules.

Duke Scholars

Published In

Journal of chemical information and modeling

DOI

EISSN

1549-960X

ISSN

1549-9596

Publication Date

July 2025

Volume

65

Issue

14

Start / End Page

7554 / 7568

Related Subject Headings

  • Medicinal & Biomolecular Chemistry
  • Magnetic Resonance Spectroscopy
  • Density Functional Theory
  • 3407 Theoretical and computational chemistry
  • 3404 Medicinal and biomolecular chemistry
  • 0802 Computation Theory and Mathematics
  • 0307 Theoretical and Computational Chemistry
  • 0304 Medicinal and Biomolecular Chemistry
 

Citation

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Mandzhieva, I., Theiss, F., He, X., Ortmeier, A., Koirala, A., McBride, S. J., … Theis, T. (2025). Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics. Journal of Chemical Information and Modeling, 65(14), 7554–7568. https://doi.org/10.1021/acs.jcim.5c00111
Mandzhieva, Iuliia, Franziska Theiss, Xingtao He, Adam Ortmeier, Anuja Koirala, Stephen J. McBride, Stephen J. DeVience, Matthew S. Rosen, Volker Blum, and Thomas Theis. “Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics.Journal of Chemical Information and Modeling 65, no. 14 (July 2025): 7554–68. https://doi.org/10.1021/acs.jcim.5c00111.
Mandzhieva I, Theiss F, He X, Ortmeier A, Koirala A, McBride SJ, et al. Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics. Journal of chemical information and modeling. 2025 Jul;65(14):7554–68.
Mandzhieva, Iuliia, et al. “Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics.Journal of Chemical Information and Modeling, vol. 65, no. 14, July 2025, pp. 7554–68. Epmc, doi:10.1021/acs.jcim.5c00111.
Mandzhieva I, Theiss F, He X, Ortmeier A, Koirala A, McBride SJ, DeVience SJ, Rosen MS, Blum V, Theis T. Zero-Field NMR and Millitesla-SLIC Spectra for >200 Molecules from Density Functional Theory and Spin Dynamics. Journal of chemical information and modeling. 2025 Jul;65(14):7554–7568.
Journal cover image

Published In

Journal of chemical information and modeling

DOI

EISSN

1549-960X

ISSN

1549-9596

Publication Date

July 2025

Volume

65

Issue

14

Start / End Page

7554 / 7568

Related Subject Headings

  • Medicinal & Biomolecular Chemistry
  • Magnetic Resonance Spectroscopy
  • Density Functional Theory
  • 3407 Theoretical and computational chemistry
  • 3404 Medicinal and biomolecular chemistry
  • 0802 Computation Theory and Mathematics
  • 0307 Theoretical and Computational Chemistry
  • 0304 Medicinal and Biomolecular Chemistry