Polychlorinated Diphenyl Sulfides: An Emerging Class of Persistent, Bioaccumulative, and Toxic Substances in the Environment
Bibliographic record
Abstract
Polychlorinated diphenyl sulfides (PCDPSs) have recently attracted increasing attention due to their potential adverse effects on human and ecosystem health. We present a review regarding their environmental occurrence, persistence, bioaccumulation, toxicity, and biotransformation. The existing literature demonstrates that PCDPSs are ubiquitous in various environmental matrices, are persistent in the environment, and have long-range transport potential. In addition, the high bioaccumulation potential of these emerging pollutants, especially the low chlorinated PCDPS congeners, has been confirmed based on both theoretical calculations and experimental investigations. Moreover, a spectrum of adverse effects, such as acute liver injury, retardation of development, reproductive disorders, and increased mortality have been widely reported in vertebrates. These adverse outcomes were associated with oxidative stress and activation of aryl hydrocarbon receptors. Given these findings, PCDPSs represent candidate persistent, bioaccumulative, and toxic substances and thus deserve further research to fully elucidate their environmental behavior and fate, and evaluate the risks to human and ecosystem health. Environ Toxicol Chem 2021;40:2657-2666. © 2021 SETAC.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".