Alternative Methodology for the Analysis of Progesterone, Testosterone, and Epi-Testosterone in Bovine Liver and Veal Muscle
Bibliographic record
Abstract
Research has shown that traditional solvent extraction procedures used for the analysis of endogenous steroids often give inconsistent recoveries and results. However, a single-laboratory validation of a liquid chromatography/tandem mass specrometry method using 2 product ions per transition for progesterone, testosterone, and epi-testosterone in bovine liver and veal muscle showed accuracy and precision to within 23% at concentrations ranging from 0.5 to 2.0 microg/kg. Homogenized samples were pretreated with methanol to denature endogenous enzymes. Following removal of methanol, samples were treated overnight with Helix pomatia beta-glucuronidase to deconjugate glucuronide conjugates. Alkali digestion of the samples in KOH solutions was done under shaking at 37 degrees C for 30 min. The digestate was extracted with methyl tert-butyl ether, and the extracts were cleaned by partitioning between acetonitrile-hexane, followed by solid-phase extraction cleanup on silica cartridges. In bovine liver, average recoveries exceeded 54% for all analytes, and the within-run assay coefficients of variations were < 6 and 13% for high (2.0 microg/kg) and low (0.3 microg/kg) analyte concentrations, respectively. In veal muscle, average recoveries exceeded 60%, and the analysis of blind spikes gave accuracy estimates of over 85%, with coefficients of variation (CVs) < 15% for all analytes. The CVs for the multiple reaction monitoring ion ratios for all compounds were < 22% for all validation data. The method meets the requirements for confirmatory methods as outlined in 2002/657/EC. An analyst is capable of processing up to 20 samples within 5 days.
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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 | 0.001 | 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".