Identification of Isomeric Ephedrines by Cold Ion UV Spectroscopy: Toward Practical Implementation
Bibliographic record
Abstract
Ephedrine and pseudoephedrine are stimulant drugs whose use is prohibited in athletic competition by the World Anti-Doping Agency (WADA) at very different threshold doping violation concentrations. We use a recently developed universal approach that integrates UV photofragmentation spectroscopy of cold ions with Orbitrap mass spectrometry (MS) for highly selective and highly sensitive identification of these diastereomers. Both species can be selectively detected at a solution concentration of a few tens of ng/mL, which is almost 3 orders of magnitude lower than the threshold concentration required by WADA. Relative concentrations of the isomers in solutions have been determined with the standard deviation of 3.1%, when the ions were cooled in an ion trap maintained at T = 6 K. Considering practical implementation of the method, we evaluated its performance for a simplified instrumentation. At an affordable elevated temperature of ∼70 K and with a low-maintenance midbandwidth optical parametric oscillator, a few second measurement should yield nearly the same selectivity and only ten times lower sensitivity than with the current research grade instrument.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".