Promotional Effects And Risks Of Multi-Walled Carbon Nanotubes On Phytoremediation Of Plastic Films
Bibliographic record
Abstract
Alfalfa is a representative plant for remediating pollutants in soil, but its rate of plastic degradation rate remains low.Porous materials are often utilized as additives to improve pollutant degradation rates, yet the use of emerging nanomaterials (NMs) has not been tested.This study aims to combine alfalfa and carbon nanomaterials (CNMs) to research the degradation effect on double-layer polyethylene (PE) plastic films (PF) in soil.Meta-analysis was used to select multi-walled carbon nanotubes (MWCNTs) with low phytotoxicity from various NMs.In a 90-day dynamic experiment, the combination of 100 and 200 mg/kg MWCNTs and alfalfa significantly improved the PF degradation rate in both surface and bottom soil layers.In particular, the PF degradation rate of the surface layer, with the direct participation of alfalfa roots, reached a degradation of 11.081.34%.This suggests that a degradation system incorporating alfalfa and MWCNTs holds promising potential for plastic phytoremediation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".