LC-MS-MS analysis of hydromorphone and hydromorphone metabolites with application to a pharmacokinetic study in the male Sprague-Dawley rat
Bibliographic record
Abstract
1. A high performance liquid chromatography-mass spectrometry-mass spectrometry (LC-MS-MS) assay was developed for the analysis of hydromorphone and its metabolites, namely dihydromorphine, dihydroisomorphine, hydromorphone-3-glucuronide, dihydromorphine-3-glucuronide and dihydroisomorphine-3-glucuronide, in rat plasma samples. 2. Analytes were extracted by solid-phase extraction using C2 cartridges. The extraction recoveries were > 76% for all analytes. Both intra- and interassay variabilities were < or = 12%. Using a plasma sample size of 100 microl, the limits of detection were 7.0 nmol(-1) (2.0 ng ml(-1)) for hydromorphone, dihydromorphine and dihydroisomorphine and 11 nmol l(-1) (5.0 ng ml l(-1)) for hydrormorphone-3-glucuronide, dihydromorphine-3-glucuronide and dihydroisomorhine-3-glucuronide at a signal-to-noise ratio = 3. 3. The present assay was applied to a pharmacokinetic study in rat after intraperitoneal administration of hydromorphone.
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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".