Effects of Environmental Transformations on the Phototoxicity of Cadmium–Zinc-Based Quantum Dots to Freshwater Algae <i>Chlorella vulgaris</i>
Bibliographic record
Abstract
CdSe/ZnS-based quantum dots (QDs) are being increasingly applied in many electronic devices, raising concerns over the ecotoxicity of QDs released into the environment during the end-of-life of such devices. Most (eco)toxicity studies have used pristine QDs with noncommercially relevant coatings or omitted their environmental transformation. We used CdSe/ZnS QDs coated with polyethylenimine, similar to those found in TV screens to examine their transformation and toxicity when aged in the presence of humic acid and/or light. The transformed samples were exposed to Chlorella vulgaris to assess impacts of different aging conditions on oxidative stress and growth inhibition. Light exposure enhanced the dissolution of pristine QDs and the release of Zn and Cd which was 5–10 folds higher than those released under dark conditions. Presence of humic acid, however, decreased the dissolution of QDs when exposed to light because of the light shielding and ion-scavenging effects of humic acid. Pristine QDs aggregated with the algae, which, when exposed to light, caused dissolution and release of metal ions locally around algae cells, causing significant loss of cell viability. However, humic acid in QD exposure media reduced oxidative stress and cell viability loss (by 2.5- fold) as it reduced bioavailability of both QDs and heavy metal ions. These findings highlight the significance of understanding the relationship between environmental transformation and ecotoxicity of QDs.
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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) | 0.000 | 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".