Toxicokinetics of <sup>14</sup>C-Atrazine and Its Metabolites in Stage-66 <i>Xenopus laevis</i>
Bibliographic record
Abstract
Several recent studies have focused on the toxicodynamic implications of amphibian exposure to the commonly used herbicide atrazine (2-chloro-4-ethylamine-6-isopropylamino-s-triazine). These studies are an important part of the risk assessment process; however, the underlying mechanisms of atrazine toxicodynamics are lacking. In an attempt to more fully describe atrazine exposure, the toxicokinetics of atrazine were studied in stage-66 Xenopus laevis larvae. The absorption, distribution, and excretion capacity of these larvae were found to be comparable to those observed in fish. The calculated bioconcentration factor (BCF) was 1.5-1.6 mLwater/glarvae, and by use of whole-body autoradiography, the radiolabel was found to be concentrated in the gall bladder and gastrointestinal tract. Elimination of atrazine was rapid with a half-life of 48 min. The high metabolic capacity of stage-66 X. laevis larvae was demonstrated where, following 8 h of exposure to 14C-atrazine, the percentages of atrazine and its metabolites deethyldeisopropylatrazine (DACT), deisopropylatrazine (DIA), and deethylatrazine (DEA) in larvae, determined by thin-layer chromatography, were 49.8% +/- 3.3%, 9.8% +/- 2.1%, 16.1% +/- 2.5%, and 15.6% +/- 2.0%, respectively. An unknown metabolite(s) was also produced and accounted for the remaining proportion of the total body radioactive residues. This metabolite(s) is hypothesized to be a conjugate of either atrazine or one of its metabolites. These metabolites, namely, DIA, were responsible for the long elimination half-life (72 h) of the total body radioactive residues. These toxicokinetics data would provide better insights in the interpretation of toxicodynamic data.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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".