Selection of Plastic‐Binding DNA Aptamers for Microplastics Detection
Bibliographic record
Abstract
Plastics are critical materials for modern technological applications, yet environmental contamination by microplastics has become a growing concern. In this study, DNA aptamers were isolated for two of the most abundant plastic materials: polyvinylchloride (PVC) and polystyrene (PS). These aptamers contain approximately 90 % cytosine and thymine but only 10 % purine content. Among them, the PVC-1 aptamer binds to PVC with a six-fold higher capacity than a random sequenced DNA. Among the tested plastic materials, PVC and PS exhibited the highest specific binding capacity. Using fluorophore-labeled PVC-1 aptamer, PS/PVC microplastics as low as 1 mg were detected, and the aptamer was selective for microplastics over other environmentally relevant materials, such as silica. Molecular dynamics simulations indicated that the aptamer attempted to maximize contact with the plastic surface for adsorption. This plastic-binding aptamer is expected to find applications in environmental monitoring and has fundamental implications for surface-binding aptamers.
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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".