Analysis of the tidocaine Metabolite 2,6-Dimethylaniline in Bovine and Human Milk
Bibliographic record
Abstract
2,6-Dimethylaniline (2,6-xylidine; 2,6-DMA) is a nasal carcinogen in rats. Humans may be exposed to this compound via several routes: 2,6-DMA is found in cigarette smoke; it is a pharmacologically inactive metabolite of some drugs (e.g., the local anesthetic lidocaine) and pesticides (e.g., metalaxyl); and it is an impurity in technical grade metalaxyl. The potential transfer of 2,6-DMA from mother to nursing infant via milk is of toxicological concern. Solid-phase microextraction with separation and detection using gas chromatography-mass spectrometry was optimized and used for the analysis of 2,6-DMA in milk. 2,6-DMA-d9 was synthesized and used for quantitation by the isotope ratio method. At a concentration of 5 ppb 2,6-DMA, the method detection limit was 0.20 ppb, and the relative standard deviation was 3.6%. Samples of milk were obtained from bovines administered lidocaine (2.9-3.9 mg/kg) during surgery. A breast milk sample was also obtained from a human donor who received 36 mg lidocaine during dental work. 2,6-DMA was present at levels ranging from 14.5 to 66.0 ppb in bovine milk and was detected at 1.6 ppb in the human milk sample. Our results demonstrate that 2,6-DMA, formed by the metabolism of lidocaine, is transferable to bovine and human milk.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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".