Arbuscular mycorrhizal fungi involvement in zinc and cadmium speciation change and phytoaccumulation
Bibliographic record
Abstract
Over the past few years, there has been a greater study and understanding of the application of phytoremediation to remediate contaminated soil. The enhancement of phytoaccumulation of heavy metals—zinc (Zn), cadmium (Cd), arsenic (As), and selenium (Se)—in plants has been shown by inoculation of roots using arbuscular mycorrhizal fungi (AMF). This article presents the results of in vitro lab experiments conducted to verify the effects of AMF ( Glomus intraradices) hyphae on speciation of essential Zn and nonessential Cd heavy metals in order to change these metals from a water- insoluble carbonate to a soluble and phytoavailable form. Results show that in the presence of heavy metals in a nonavailable form to plants, endomycorrhizal hyphae can change the metal from carbonate to a water- soluble species. This phenomenon is more apparent with a nonessential (Cd) than with an essential metal (Zn). Zn saturation is reached in the G. intraradices colonized roots at around 400 ppm, independently of initial ZnCO3 concentrations. Cd saturation is not reached; in the lower Cd treatment, the plant/media metal ratio is 3:1, and in the higher treatment, the ratio is 1:1. © 2005 Wiley Periodicals, Inc.
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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".