Are humans exposed to increasing amounts of unidentified organofluorine?
Bibliographic record
Abstract
Environmental context Polyfluorinated substances are anthropogenic chemicals that have been widely used in several industrial and commercial applications. Analysis of human plasma samples collected from Münster in Germany revealed, since the year 2000, increasing amounts and proportion of unidentified organofluorines. The increasing trend of unidentified organofluorines in plasma samples suggests that humans are being exposed to new and unidentified fluorinated products. Abstract Samples of human plasma (n = 122) from two German cities (collected in 1982–2009, excluding 1994) and whole blood (n = 47) from seven Chinese cities (collected in 2004) were analysed for 52 polyfluoroalkyl/perfluoroalkyl substances (PFASs) using LC-MS/MS. Quantifiable PFASs included some newly identified and commercially available chemicals PFPAs, PFPiAs, FTSAs, PAPs and di-SAmPAP, metabolites of fluorotelomer-based products (FTCAs/FTUCAs), PFCAs, PFSAs, FASAs and FOSAAs. The blood samples were also analysed for extractable organofluorine (EOF) using total organofluorine combustion ion chromatography (TOF-CIC). Seven more PFASs (C7 and C10 PFSAs, FOSAA, MeFOSAA, EtFOSAA, C13 PFCA and 8 : 2 FTSA) were detected in the Chinese samples than had been previously reported. For the German samples, PFHpS, FOSA, MeFOSA, EtFOSA, FTSAs (6 : 2, 8 : 2), PFPAs (C6, C8) and PFPiAs (C6/C6, C6/C8, C8/C8) were additional chemicals identified that were not measured in the earlier studies. Those newly identified and commercially available PFASs were either at trace levels (pg mL–1) or not detected. A mass balance of fluorine between quantifiable PFAS and EOF in the Chinese samples indicated quantifiable PFASs accounted for 31–86 % of EOF. For the German samples, the quantifiable PFAS accounted for 52–100 % and 57–100 % of EOF in Münster and Halle samples respectively. After the year 2000, an increasing amount and proportion of unidentified organofluorine were observed in Münster samples. The increasing trend of unidentified organofluorine in plasma samples suggested humans are being exposed to new and unidentified fluorinated products.
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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) | 0.000 | 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) | 0.007 | 0.001 |
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; both teacher heads agree on what is shown here.
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".