Biotransformation of the 8:2 fluorotelomer acrylate in rainbow trout. 2. In vitro incubations with liver and stomach S9 fractions
Bibliographic record
Abstract
The biotransformation of the 8:2 fluorotelomer acrylate (C(8) F(17) CH(2) CH(2) OC(O)CH = CH(2) , 8:2 fluorotelomer-based acrylate [FTAc]) was quantitatively investigated in cytosolic (S9) fractions isolated from rainbow trout stomach and liver. The in vitro studies presented in this manuscript compliment the whole body 8:2 FTAc dietary exposure study, presented as a companion paper. The S9 fractions were prepared in our laboratory, using fish that had previously been used as control animals in our in vivo study. Before 8:2 FTAc incubations, general carboxylesterase activity was determined using paranitrophenyl acetate (PNPA) as the substrate with formation of paranitrophenol monitored using an ultraviolet-vis spectrometer. In the 8:2 FTAc incubations, the degradation of the parent compound and 8:2 fluorotelomer alcohol (FTOH) formation was monitored by gas chromatography-mass spectrometry. Incubations were performed in triplicate, over a range of concentrations encompassing two orders of magnitude, and the initial rate of 8:2 FTOH or paranitrophenol formation was determined. Enzyme kinetic parameters were determined by plotting the initial rate versus concentration, using nonlinear regression analysis. The maximum initial velocities of the enzyme-catalyzed reaction (V(max)) in the PNPA incubations were 614 ± 18 nmol/min/mg and 147 ± 16 nmol/min/mg for the liver and stomach fractions, respectively. These values are much faster than other phase I and II metabolism reactions. The calculated intrinsic clearance rates (CL(int)) for the 8:2 FTAc incubations were 1.7 and 0.40 ml/min/mg protein, respectively. These results show that the esterase activity toward the 8:2 FTAc is only fourfold greater in the liver as compared with the stomach. These trends demonstrate the potential for considerable extrahepatic metabolism of the 8:2 FTAc before uptake into the internal tissues, ultimately limiting the overall bioaccumulation.
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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) | 0.001 | 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".