Simultaneous analysis of thirteen diuretics residues in bovine milk by ultra‐performance liquid chromatography/tandem mass spectrometry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A simple, rapid, sensitive and specific method used to screen and confirm multi-class diuretics residues in whole bovine milk is described. Thirteen drugs of four different classes including carbonic anhydrase inhibitors, loop, thiazide and potassium-sparing diuretics were extracted from whole milk by acetonitrile followed by further purification with hexane. The analytes were separated using an ACQUITY UPLC BEH C18 column and detected by electrospray ionization tandem mass spectrometry (ESI-MS/MS). MS data acquisition was performed by a time-scheduled multiple reaction monitoring program, selecting two ion transitions for each target compound. The overall average recoveries based on matrix-fortified curves fortified with diuretics at three levels ranged from 80.6 to 108.8% with the coefficients of variation ranging from 2.6 to 19.7% (n = 6). The limits of quantitation (LOQs) of diuretics in bovine milk were 5.0 microg/kg for spironolactone and 0.5 microg/kg for other analytes, respectively.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it