Solid-State <sup>17</sup>O NMR and Computational Studies of <i>C</i>-Nitrosoarene Compounds
Bibliographic record
Abstract
We report the first solid-state (17)O NMR determination of the (17)O quadrupole coupling (QC) tensor and chemical shift (CS) tensor for four (17)O-labeled C-nitrosoarene compounds: p-[(17)O]nitroso-N,N-dimethylaniline ([(17)O]NODMA), SnCl(2)(CH(3))(2)([(17)O]NODMA)(2), ZnCl(2)([(17)O]NODMA)(2), and [(17)O]NODMA.HCl. The (17)O quadrupole coupling constants (C(Q)) observed in these C-nitrosoarene compounds are on the order of 10-15 MHz, among the largest values found to date for organic compounds. The (17)O CS tensor in these compounds exhibits remarkable sensitivity toward the nitroso bonding scheme with the chemical shift anisotropy (delta(11) - delta(33)) ranging from just 350 ppm in [(17)O]NODMA.HCl to over 2800 ppm in [(17)O]NODMA. This latter value is among the largest (17)O chemical shift anisotropies reported in the literature. These extremely anisotropic (17)O NMR interactions make C-nitrosoarene compounds excellent test cases that allow us to assess the detection limit of solid-state (17)O NMR. Our results suggest that, at 21.14 T, solid-state (17)O NMR should be applicable to all oxygen-containing organic functional groups. We also show that density functional theory (DFT) calculations can reproduce reasonably well the experimental (17)O QC and CS tensors for these challenging molecules. By combining quantum chemical calculations with experimental solid-state (17)O NMR results, we are able to determine the (17)O QC and CS tensor orientations in the molecular frame of reference for C-nitrosoarenes. We present a detailed analysis illustrating how magnetic field-induced mixing between individual molecular orbitals (MOs) contributes to the (17)O shielding tensor in C-nitrosoarene compounds. We also perform a Townes-Dailey analysis for the observed (17)O QC tensors and show that (17)O CS and QC tensors are intrinsically related through the pi bond order of the N horizontal lineO bond. Furthermore, we are able for the first time to examine the parallelism between individual (17)O and (15)N CS tensor components in C-nitrosoarenes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".