Cadmium-Containing Quantum Dots Used in Electronic Displays: Implications for Toxicity and Environmental Transformations
Bibliographic record
Abstract
Cadmium-containing quantum dot (QD) nanoparticles are integrated into electronic displays because of their ability to efficiently convert colors. There are conflicting accounts as to whether these particles present a hazard to the environment, as they have been studied either as (1) embedded QDs in display screen films or (2) as model QDs with small, hydrophilic ligands. Both approaches have limitations that we addressed by synthesizing QDs featuring the core–shell structure and the thick polymer coating present in commercial devices to probe the dissolution of QDs in response to two environmental factors (pH and dissolved oxygen) over 1 day and 6 months. Results show that QDs were chemically stable at circumneutral pH (0% Cd dissolution after 6 months), but low pH initiated rapid dissolution under both aerobic and anaerobic conditions (up to 100% Cd dissolution after 6 months). In addition to the presence of a capping polymer, the QD shell structure led to more chemically stable nanoparticles compared to nonshelled QDs, as the presence of ZnS shells decreased Cd dissolution by 75%. The dense aggregation of QDs into structures of ∼100 nm diameter over time was observed as well, which could lead to decreased bioavailability. To test this, we used liver cells to compare the toxicity of pristine QDs to those subjected to acid dissolution. Our results reveal that low-pH-exposed QDs separated from dissolved ions are less toxic than pristine QDs (half maximal inhibitory concentration, IC50, of 290 and 150 mg/L, respectively) and suggest a key role of dissolved ions and capping polymers for QD toxicity. These findings highlight the use of a commercially relevant nanoparticle structure to demonstrate fate and toxicity.
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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 | 0.001 | 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".