Field Cycling from 10 nT to 9.4 T: A Flexible Gear Rod Design for Nuclear Spin Relaxation and Hyperpolarization Studies
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide We present a flexible gear rod-based magnetic field cycling (MFC) system for high-resolution NMR spectrometers. The system enables the transfer of the sample from the NMR B 0 field of 9.4 T to ∼nT and all fields in between within 1 s. A flexible gear rod was essential for reducing the total height to approximately the height required for filling the NMR with liquid helium. Due to its reduced height, it can be installed in average-size NMR laboratories (the height of the NMR with MFC is only 3.32 m). Only off-the-shelf components and 3D-printed parts were used for the system assembly, lowering the costs for replication. An automated shimming procedure for ultralow fields is presented to achieve homogeneous fields of a few nanotesla. The system utility is exemplified by measuring T 1 relaxation dispersion of the most common liquid state hyperpolarization tracer─[1- 13 C]pyruvate─and magnetic field dependences of signal amplification by reversible exchange, enabling alignment transfer to heteronuclei (SABRE-SHEATH) hyperpolarization of [ 15 N]pyridine. Using the system, we uncovered the exact relaxation dispersion of pyruvate for a standard preclinical dDNP sample composition and provided quantitative estimates for the retained polarization after sample transfer. We modified the observation protocol of SABRE-SHEATH polarization, which, with the high reproducibility of the MFC, provided us with a method to measure the chemical exchange rates of hyperpolarized compounds.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".