Uptake of Heavy Metals by Tomato (Lycopersicum esculentus) Grown on Soil Collected from Dumpsites in Ekiti State, South West, Nigeria
Bibliographic record
Abstract
People in recent times have engaged in the habit of cultivating on abadoned dunpsites or soil collected from the existing ones because of their fertility. Lycopersicun esculentus is one of the vegetables that is mostly cultivated on such sites and also commonly consumed in Nigeria. Uptake of heavy metals by tomato (Lycopersicum esculentus) grown on soil collected from dumpsites located in Ekiti State, Nigeria was determined with a view to monitoring the pollutional status of the environment. Concentration of heavy metals were found in the range of Cd (27.20-55.74), Co (5.18-38.15), Cr (9.30-55.40), Cu (66.67-107.00), Fe (200.01-655.90), Pb (22.32-61.60), Mn (16.90-49.20), Ni (12.06-46.60), Sn (25.90-78.99) and Zn (7.54-91.10) all in mg/kg. The sequence of accumulation is in order of leaf>stem>root>fruit and Translocation factor (TF) values greater than 1 revealed that heavy metals were translocated into the aerial part of the plant. However, the study serves as pathway for the investigation of these heavy metals which may eventually enter the food chain and subsequent ingestion by man.
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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".