Phytoremediation of heavy metals: mechanisms of decontamination and enhancements
Bibliographic record
Abstract
The ability of many plant species to withstand, accumulate, and/or eliminate environmental toxins such PCBs, TNT, pharmaceuticals, textile dyes, phenolics, heavy metals, and radionuclides has been effectively tested in recent years using hairy roots as a study tool. The word "phytoremediation" describes a variety of techniques for cleaning up inorganic and organically contaminated environments using photoautotrophic vascular plants. Hyperaccumulators are necessary for sites that are extensively contaminated with organic pollutants and could be created through genetic engineering techniques. But by enhancing their dietary and environmental needs, efficient hyperaccumulation by naturally existing plants is also possible and can be made practical. So, it appears that phytoremediation of organics is a very promising approach for removing pollutants from damaged soil. Aspects of plant metabolism related to the phytoremediation of organic pollutants and their pertinent phytoremediation activities are reviewed in this paper.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".