A sensitive and specific high performance liquid chromatographic assay for milrinone in rat and human plasma using a commercially available internal standard and low sample volume.
Bibliographic record
Abstract
PURPOSE: To develop an alternate high performance liquid chromatographic method (HPLC) for the analysis of the positive inotropic agent, milrinone, in rat and human plasma. METHODS: To plasma samples (0.1 mL), containing milrinone and the commercially available internal standard, amrinone, were added 0.15 mL of water and 0.35 mL of acetonitrile. Tubes were briefly vortex-mixed and centrifuged. The supernatant was transferred to clean tubes and 3 mL of methanol: diethyl ether (5:95) was added. The tubes were vortex mixed, centrifuged, and reconstituted with the mobile phase and injected into the HPLC. Separation was accomplished using a reverse phase chromatography using C18 analytical column, and detection was afforded by monitoring the eluent at an ultraviolet wavelength of 326 nm. RESULTS: Standard curves were highly linear over the range 10 to 10000 ng/mL (r2 >0.99). Recovery ranged from 52-69% over a 40-fold range of plasma concentrations from 50 to 2000 ng/mL. Intra- and inter-day coefficient of variation and mean error in were less than 20% at plasma concentrations ranging from 10 to 1000 ng/mL. The utility of the assay was demonstrated in a pharmacokinetic evaluation of milrinone in two rats given intravenous bolus doses. CONCLUSION: The developed assay was sensitive, specific and appropriate for monitoring milrinone in rat or human plasma samples.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".