NMR and MS study of the formation of β-<scp>d</scp>-glucopyranosylamine uronic acid in aqueous solution
Bibliographic record
Abstract
The products of the reaction of d-glucuronic acid with various combinations of ammonia and volatile ammonium salts in water were studied by NMR and MS spectroscopy. For long reaction times (~24 h), the expected products β-d-glucopyranosylamine uronic acid and ammonium N-(β-d-glucopyranosyluronic acid)carbamate were obtained in good-to-high yield, whereas seven intermediate species were identified in samples taken at earlier reaction times. 1H–1H homonuclear and 1H–13C heteronuclear correlation experiments enabled a complete assignment of the 1H and 13C NMR spectra of the starting and final compounds, and a partial assignment of the peaks of intermediate species. Based on these results, a 1H NMR protocol for the quantification of the different compounds taking part in the reaction was developed, which was used to monitor the evolution of the composition of an early reaction sample redissolved in D2O. It was thus established that two of the observed intermediate species are actually the α anomer of the main products, whereas the others are precursors to the formation of α/β-d-glucopyranosylamine uronic acid and ammonium N-(α/β-d-glucopyranosyluronic acid)carbamate. The correct assignments for the 1H and 13C spectra of d-glucuronic acid in D2O are also reported.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".