A novel ultra-high-performance supercritical fluid chromatography hyphenated to tandem mass spectrometry method for the analysis of urinary endogenous steroids in the anti-doping context
Bibliographic record
Abstract
The first step in the detection of testosterone (T) doping is to measure the urinary steroid profile for the athlete biological passport (ABP). To harmonise the analysis between anti-doping laboratories, urinary steroid profiling is parametrised in deep detail and shall be performed by gas chromatography hyphenated to mass spectrometry (GC-MS). However, due to its requirement for extensive sample preparation, alternatives to GC-MS are being actively pursued. The aim of this study was the evaluation of Ultra-High-Performance Supercritical Fluid Chromatography hyphenated to tandem Mass Spectrometry (UHPSFC-MS/MS) as an alternative for the quantification of endogenous urinary steroids. In this context, we developed a high throughput sample extraction method, followed by a novel UHPSFC-MS/MS method for the analysis of 10 endogenous urinary steroids which are relevant for doping control analysis. Depending on the steroid, the herein presented method is capable of quantification from 0.5 ng/mL up to 10 µg/mL. After validation, the applicability of the method was evaluated by analysing 132 authentic urine samples, which demonstrated results similar to classical GC-MS analysis. Steroid concentrations determined by UHPSFC-MS/MS were slightly overestimated in comparison with GC-MS, but the ratios had <10 % difference between the two methods. As the ABP considers the steroid ratios for passport evaluation, the herein presented method could be used for steroid profiling without reducing the sensitivity of the ABP. Thus, we would propose to consider UHPSFC-MS/MS as an alternative to GC-MS after more tests would have been performed to support our findings. Furthermore, we have also investigated the potential of this technology for sample purification prior to Isotope Ratio Mass Spectrometry (IRMS) for the differentiation between exogenous and endogenous origin of T and its metabolites. While the achieved separation was sufficient to purify urine samples for IRMS analysis in our proof-of-concept study, the instrumental parameters should be further refined for future use.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".