Tissue Concentrations of Polybrominated Compounds in Chinese Sturgeon (<i>Acipenser sinensis</i>): Origin, Hepatic Sequestration, and Maternal Transfer
Bibliographic record
Abstract
Information on concentrations of polybrominated compounds in various tissues of wild fish is limited. Concentrations of polybrominated diphenyl ethers (PBDEs), methoxylated PBDEs (MeO-PBDEs), and hydroxylated PBDEs (OH-PBDEs) were measured in 12 organs and eggs of 17 female Chinese sturgeon (Acipenser sinensis). The highest concentrations of PBDEs (42.8+/-39.4 ng/g ww), and MeO-PBDEs (135+/-63.6 pg/g ww) occurred in adipose followed by liver (PBDEs: 25.0+/-27.0 ng/g ww, MeO-PBDEs: 32.3+/-29.1 pg/g ww) and eggs (PBDEs: 21.2+/-19.4 ng/g ww, MeO-PBDEs: 120+/-119 pg/g ww), and the highest concentration of OH-PBDEs was observed in liver (185+/-174 pg/g ww) and eggs (178+/-294 pg/g ww). The lack of in vitro transformation of 6-MeO-BDE47 or BDE47 by microsomes prepared from Chinese sturgeon liver suggests that most 6-OH-BDE47 was directly accumulated as a natural product. Lipid-normalization revealed preferential accumulation of PBDEs in liver, and ratios of concentrations between eggs and liver were 0.10+/-0.11 to 0.22+/-0.26, which was lower than that for MeO-PBDEs (6-MeO-BDE47: 0.57+/-0.60, 2'-MeO-BDE68: 0.65+/-0.85) and 6-OH-BDE47 (0.59+/-0.51). Concentrations of PBDEs were negatively correlated with age, but no significant relationships between concentrations of OH-PBDEs or MeO-PBDEs and age were observed.
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".