Liquid chromatographic method for the simultaneous determination of caffeine and fourteen caffeine metabolites in urine
Bibliographic record
Abstract
An HPLC method has been developed for the separation and the determination of caffeine and its metabolites in urine samples using a one extraction-analysis run and UV detection. The compounds were extracted by liquid-liquid extraction using chloroform-isopropylalcohol (85:15, v/v). Chromatographic separation was accomplished on an ODS analytical column with a mobile phase containing 0.05% acetic acid/methylalcohol (92.5:7.5, v/v). Compounds were monitored at 280 nm. The method was validated for the determination of AFMU, 1X, 1U, 17X and 17U caffeine metabolites required to assess the metabolic activity of the enzymes subject to in vivo caffeine testing. The validated assay was applied to urine samples from ten healthy volunteers. The method was proved to be suitable to assess simultaneously the enzymatic activity of cytochrome P450 CYP1A2 and CYP2A6, as well as N-acetyltransferase and xanthine oxidase.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".