Dietary accumulation of hexabromocyclododecane diastereoisomers in juvenile rainbow trout (<i>Oncorhynchus mykiss</i>) I: Bioaccumulation parameters and evidence of bioisomerization
Bibliographic record
Abstract
Juvenile rainbow trout (Oncorhynchus mykiss) were exposed to three diastereoisomers (alpha, beta, gamma) of hexabromocyclododecane (C12H18Br6) via their diet for 56 d followed by 112 d of untreated food to examine bioaccumulation parameters and test the hypothesis of in vivo bioisomerization. Four groups of 70 fish were used in the study. Three groups were exposed to food fortified with known concentrations of an individual diastereoisomer, while a fourth group were fed unfortified food. Bioaccumulation of the gamma-diastereoisomer was linear during the uptake phase, while the alpha- and beta-diastereoisomers were found to increase exponentially with respective doubling times of 8.2 and 17.1 d. Both the beta- and the gamma-diastereoisomers followed a first-order depuration kinetics with calculated half-lives of 157 +/- 71 and 144 +/- 60 d (+/-1 x standard error), respectively. The biomagnification factor (BMF) for the alpha-diastereoisomer (BMF = 9.2) was two times greater than the beta-diastereoisomer (BMF = 4.3); the large BMF for the beta-diastereoisomer is consistent with this diastereoisomer dominating higher-trophic-level organisms. Although the BMF of the beta-diastereoisomer suggests that it will biomagnify, it is rarely detected in environmental samples because it is present in small quantities in commercial mixtures. Results from these studies also provide evidence of bioisomerization of the beta- and gamma-diastereoisomers. Most importantly, the alpha-diastereoisomer that was recalcitrant to bioisomerization by juvenile rainbow trout in this study and known to be the dominant diastereosiomer in fish was bioformed from both the beta- and the gamma-diastereoisomers. To our knowledge, this is the first report of bioisomerization of a halogenated organic pollutant in biota.
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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 | 0.000 |
| 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".