Phytoremediation Potential of Crotalaria juncea Plants in Lead-Contaminated Soils
Bibliographic record
Abstract
Soil pollution by highly toxic metals (such as lead, Pb) derived from human activities has become a serious problem in recent years. Phytoremediation is a technique that uses plants or microorganisms to remedy such toxicity from contaminated soils and water. This study aimed to evaluate the efficiency of the legume Crotalaria juncea as a phytoremediator of lead-contaminated soils. We evaluated plant growth and lead content in the soil andin C. juncea’s leaves and roots. Three treatments with varying concentrations of lead in the soil were evaluated: 0 mg kg-1 (control), 250 mg kg-1, and 500 mg kg-1. Plant growth and plant physical aspects were quantified. Metal concentration in the soil, leaves, and roots was assessed by atomic absorption spectrometry. The species had a survival rate of 100%. The highest content of lead was found in the plants’ roots. Plant growth did not differ significantly among the three treatments, leaf lead concentration did. Crotalaria juncea has potential for lead phytoremediator. In addition, it is a tolerant vegetal and hyperaccumulator of Pb, mainly in the roots, and due to these characteristics its potential for phytoextraction of this metal under field conditions should be evaluated.
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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".