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Updated: Feb 6, 2026
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Published on: June 4, 2021
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Automated frequency tuning for broadband NMR spectroscopy: A LabVIEW-based solution.
Yanan Li1, Hadrien Mayaffre2, Florian Bärtl3
1Laboratoire National des Champs Magnétiques Intenses, LNCMI-CNRS (UPR3228), EMFL, Univ. Grenoble Alpes, Univ. Toulouse, INSA-T, 38042, Grenoble Cedex 9, France; College of Electronic and Information Engineering, Liaoning Technical University, 125105, Huludao, Liaoning, China.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|February 4, 2026
Summary
This study presents an automated system for tuning Nuclear Magnetic Resonance (NMR) probes, significantly reducing measurement time and user effort. The automated NMR probe tuning enhances the efficiency and accuracy of spectroscopic data acquisition, especially in high magnetic fields.
Area of Science:
- Solid-state physics
- Spectroscopy
Background:
- Manual tuning of broadband Nuclear Magnetic Resonance (NMR) probes is time-consuming and labor-intensive.
- Efficient probe tuning is crucial for timely data acquisition in NMR spectroscopy, particularly under demanding conditions like low temperatures or high magnetic fields.
Purpose of the Study:
- To develop and demonstrate an automated frequency-tuning system for NMR probes.
- To reduce the time and user intervention required for probe tuning in broadband NMR spectroscopy.
Main Methods:
- Development of a LabVIEW-based automated system integrating a stepper motor, driver, phase shifter, and network analyzer.
- Implementation of the system for top-tuning configurations of NMR probes used in solid-state physics.
- Experimental validation using 63Cu and 65Cu NMR on an SrCu2(BO3)2 sample.
Main Results:
- The automated system enables rapid, precise, and efficient tuning of NMR probes.
- Significant reduction in tuning time compared to traditional manual methods.
- Demonstrated effectiveness in high magnetic field experiments.
Conclusions:
- The automated frequency-tuning system enhances the efficiency and accuracy of NMR measurements.
- Automation is particularly beneficial for research in ultra-high magnetic fields, reducing costs and improving data acquisition.
- The system streamlines research processes in solid-state NMR spectroscopy.
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