New investigations into the stability of Mesna using LC-MS/MS and NMR
Bibliographic record
Abstract
INTRODUCTION: It is important for sarcoma patients to receive the correct dose of Mesna as an adjuvant with ifosfamide to reduce the risk of hemorrhagic cystitis. This paper describes a study conducted to evaluate the physicochemical stability of Mesna for injection formulation over 14 days. METHODS: Mesna samples (n = 4, 20 mg/ml) were incubated in glass vials at 37 + 0.5ºC. Mesna concentrations were determined by liquid chromatography-mass spectrometry (LC-MS/MS), and nuclear magnetic resonance spectroscopy (NMR) was used to detect degradation products. Evaporative losses and pH were also monitored. RESULTS: Our results differed from those published in existing literature. Both LC-MS/MS and NMR indicated that Mesna was unstable. The mean percentage decrease in Mesna concentration was 40% by day 14 of the analysis. The presence of Mesna's dimer Dimesna was detected on day 0 and its concentration increased over time. Dimesna was the only by-product identified. CONCLUSION: Both LC-MS/MS and NMR analyses confirmed the instability of Mesna and its conversion into Dimesna.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".