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Updated: Jul 18, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
Effective Hamiltonians by optimal control: solid-state NMR double-quantum planar and isotropic dipolar recoupling
Zdenek Tosner1, Steffen J Glaser, Navin Khaneja
1Center for Insoluble Protein Structures (inSPIN), Interdisciplinary Nanoscience Center (iNANO), University of Aarhus, DK-8000 Aarhus C, Denmark.
Optimal control algorithms design advanced radio-frequency pulse sequences for nuclear magnetic resonance (NMR) spectroscopy. These sequences enhance dipolar recoupling in solid-state NMR, improving signal-to-noise ratios for powder samples.
Area of Science:
- Nuclear Magnetic Resonance (NMR) Spectroscopy
- Solid-State NMR
- Quantum Control
Background:
- Dipolar recoupling is crucial for structural analysis in solid-state NMR.
- Existing pulse sequences have limitations in handling experimental complexities and efficiency.
- Tailoring effective Hamiltonians is key to overcoming these limitations.
Purpose of the Study:
- To design novel radio-frequency (rf) pulse sequences using optimal control algorithms for solid-state NMR.
- To achieve efficient dipolar recoupling, including isotropic mixing, in powder samples.
- To improve signal-to-noise ratios in 2D NMR experiments.
Main Methods:
- Application of optimal control algorithms to design rf pulse sequences.
- Numerical construction of pulse sequences to accommodate experimental conditions (inhomogeneous rf fields, chemical shift spread, sample orientation, spinning).
- Design of sequences for planar double-quantum and homonuclear isotropic mixing dipolar coupling Hamiltonians.
Main Results:
- Development of improved dipolar recoupling sequences for planar double-quantum and zero-quantum effective Hamiltonians.
- First demonstration of homonuclear isotropic mixing sequences enabling simultaneous, efficient transfer of I(x), I(y), and I(z) polarizations.
- Numerical and experimental validation on (13)C(alpha),(13)C(beta)-L-alanine, showing substantial sensitivity gains over conventional methods.
Conclusions:
- Optimal control algorithms provide a powerful tool for designing sophisticated NMR pulse sequences.
- The novel isotropic mixing sequences offer a significant advantage in signal-to-noise ratio for solid-state NMR.
- These advancements facilitate more efficient structural determination of powdered materials using NMR.
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