High-Performance Liquid Chromatography Using UV Detection for the Simultaneous Quantification of Ropivacaine and Bupivacaine in Human Plasma
Bibliographic record
Abstract
A specific high-performance liquid chromatography assay coupled with UV detection has been developed and validated for the simultaneous determination of ropivacaine and bupivacaine in human plasma. A liquid-liquid back extraction procedure was used to increase specificity, and very good and consistent recoveries were obtained: 93%-95% for ropivacaine and 90%-96% for bupivacaine. The lowest limit of quantification was 4 and 8 ng/mL for ropivacaine and bupivacaine, respectively. The method was sensitive, reproducible (coefficient of variation <or= 6.9%), and accurate (96%-102%) and was applied successfully to study the pharmacokinetics of ropivacaine and bupivacaine in a perioperative context.
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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 | 0.000 | 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) | 0.000 | 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".