Copper uptake in <i>Typha latifolia</i> as affected by iron and manganese plaque on the root surface
Bibliographic record
Abstract
The effects of iron (Fe) and manganese (Mn) plaque on the accumulation of copper (Cu) in Typha latifolia L. were investigated under laboratory conditions in nutrient solution cultures. Seedlings with and without Fe plaque on their roots, induced with 15 or 60 µg·mL1 Fe, were exposed to 0.04, 0.12, or 0.36 µg·mL1 Cu solutions, and seedlings with and without Mn plaque, induced with 15 or 60 µg·mL1 Mn, were exposed to 0.12 or 0.36 µg·mL1 Cu solutions for 24 days, respectively. In all cases, the amount and proportion of Cu adsorbed on the root surface increased with a higher concentration of Cu in the solutions. In the presence of Fe or Mn, T. latifolia adsorbed more Cu and had a higher proportion of Cu on its roots, especially the roots with heavy Mn or Fe plaque. Although more Fe than Mn accumulated on the roots in the form of plaque, the Mn plaque adsorbed more Cu. The data suggest that root plaque can act as a Cu reservoir, depending on the amount of Fe or Mn on the roots and the amount of Cu in the environment.Key words: wetland plant, heavy metal uptake, cattail, iron plaque, manganese plaque.
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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".