Determination of salmeterol, <i>α</i>‐hydroxysalmeterol and fluticasone propionate in human urine and plasma for doping control using UHPLC–QTOF–MS
Bibliographic record
Abstract
Abstract Salmeterol and fluticasone are included in the Prohibited List annually issued by the World Anti‐Doping Agency. While for other permitted beta‐2 agonists a threshold has been established, above which any finding constitutes an Adverse Analytical Finding, this is not the case with salmeterol. The salmeterol metabolite, α ‐hydroxysalmeterol, has been described as a potentially more suitable biomarker for the misuse of inhaled salmeterol. In this study, a new and rapid UHPLC–QTOF–MS method was developed and validated for the simultaneous quantification of salmeterol, α ‐hydroxysalmeterol and fluticasone in human urine and plasma, which can be used for doping control. The analytes of interest were extracted by means of solid phase extraction and were separated on a Zorbax Eclipse Plus C 18 column. Detection was performed in a quadrupole time‐of‐flight mass spectrometer equipped with an electrospray ionization source, in positive mode for the detection of salmeterol and its metabolite and in negative mode for the detection of fluticasone. Method was validated over a linear range from 0.10 to 2.00 ng/ml for salmeterol and fluticasone, and from 1.00 to 20.0 ng/ml for α ‐hydroxysalmeterol, in urine, whereas in plasma, the linear range was from 0.025 to 0.500 ng/ml for salmeterol and fluticasone, respectively.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".