Application of fast gas chromatography/mass spectrometry for the rapid screening of synthetic anabolic steroids and other drugs in anti‐doping analysis
Bibliographic record
Abstract
This paper describes a fast gas chromatographic/mass spectrometric (GC/MS) screening method for the detection, in urine, of 36 xenobiotics (30 synthetic anabolic steroids, four narcotics, one diuretic and one stimulant) excreted free or as glucuro-conjugates in urine and detectable as trimethylsilyl (TMS) derivatives. These drugs (and/or their urinary metabolites) can be simultaneously extracted by a single liquid/liquid separation step, at alkaline pH, after enzymatic hydrolysis with beta-glucuronidase and then assayed as TMS derivatives by GC/MS using electron ionisation (EI) and single ion monitoring (SIM) acquisition mode. The total time needed for the GC run is less than 8 min. Good reproducibility of the retention times (CV% <1) and the relative abundances of the diagnostic fragment ions (CV% <10) was observed for all target analytes. The sensitivity of the method is sufficient to match the requirements of the World Anti-Doping Agency (WADA) for the accredited laboratories, with limits of detection (LODs) that are lower than the corresponding WADA minimum required performance limits (MRPLs) for all target compounds.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| 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".