Temporal Trends of Perfluoroalkyl Compounds with Isomer Analysis in Lake Trout from Lake Ontario (1979−2004)
Bibliographic record
Abstract
The temporal trends of perfluoroalkyl compounds (PFCs), including C7-C15 perfluorocarboxylates (PFCAs), perfluorosulfonates (PFSAs) and heptadecafluorooctane sulfonamide (PFOSA), were determined in lake trout collected between 1979 and 2004 from Lake Ontario. The average concentrations of total PFSAs (+/- standard error of the mean; range) increased from 20 ng g(-1) wet weight (+/- 4; 8-26) in 1979, peaked at 70 ng g(-1) (+/- 7; 58-91) in 1993, and were 46 ng g(-1) (+/- 10; 30-83) in 2004, with perfluorooctane sulfonate (PFOS) asthe most abundant PFC. The PFCAs exhibited similar temporal variation, with concentrations increasing from 1.4 ng g(-1) (+/- 0.1; 0.9-1.9) in 1979 to 9.4 ng g(1) (+/- 3.1; 3-17) in 1988, and were 6.8 ng g(-1) (+/- 1.0; 4.5-9.8) in 2004. Individual mean PFCA concentrations varied between 0.2 and 2 ng g(-1) (wet weight). Perfluorodecane sulfonate (PFDS) and PFOSA were the only compounds showing a declining trend in the past decade, after reaching a peak value in 1993. Branched C11 and C13 PFCA isomers were detected in the lake trout and confirmed in Niagara River suspended sediments, with trends in both matrices suggesting that declining emissions or use of products containing these isomers in part account for the observed PFCA trends in the mid-1990s. However, the most recent samples, comprised almost exclusively of linear isomers, indicate that current PFCA sources to Lake Ontario result from the telomerization process of linear telogens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 teacher head, 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".