Toxicity assessment of exposure to four short- and ultra-short PFAS using <i>Daphnia magna</i> and <i>Hydra vulgaris</i> as models
Bibliographic record
Abstract
Short- and ultra-short per- and polyfluoroalkyl substances (PFAS) such as perfluorobutanoic acid (PFBA, 4C), perfluorobutane sulfonic acid (PFBS, 4C), trifluoroacetic acid (TFA, 2C) and trifluoromethane sulfonic acid (TFMS, 1C) were detected in various environmental matrices, but studies addressing the effects attributed to exposure are still scarce. This study aimed to (1) investigate acute toxicity of these emerging PFAS using Daphnia magna (immobility, mortality, reproduction, and body size) and Hydra vulgaris (morphological changes and reproduction) and (2) assess the sub-chronic/chronic toxicity of TFA in both species. Glutathione S-transferase (GST) activity was also assessed in both species after long-term exposure to TFA. Chemical analysis confirmed presence and stability of the 4 PFAS in exposure media. For all tested PFAS, endpoints examined after acute tests were not markedly affected by exposure and LC50 values were > 1000 mg/L. However, this toxicity was significantly affected by media acidification induced by the tested chemicals (LC50 = 316 and 31,6 mg/L for D. magna and H. vulgaris, respectively). Long-term exposure to TFA did not significantly induce any effect on both species and GST levels were not altered. Overall, results suggest lower toxicity of ultra/short-chain PFAS to these species under selected exposure conditions. However, additional studies investigating multigenerational effects of these PFAS using realistic environmental concentrations are needed to overcome the significant gaps in our understanding of short/ultra-short PFAS-induced toxicity.
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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".