Avaliação da biodisponibilidade de metais em sedimentos de manguezais da área do Complexo Estuarino de Suape-PE.
Bibliographic record
Abstract
Mangroves are known areas of deposition of terrestrial and marine materials, being thus potentially accumulators of heavy metals. Moreover, they are a major source of debris which forms the basis of most tropical coastal food chains. Thus, metals accumulated in mangroves can potentially contaminate such chains and reach human beings. For this reason, their determination is an important factor for the establishment of quality standards and for the control of pollutants in general. In order to contribute to the study of these environments sediments from mangroves and from the Massangana and Tatuoca Rivers in the area of the Industrial Portuary Complex of Suape, in the State of Pernambuco - Brazil were analyzed. The concentrations of the metals Cd, Pb, Al, Zn and Fe were determined by atomic absorption spectrometry. The levels obtained for [Cd (< 0.10 mg.kg-1), Pb (<0.05 mg.kg-1 – 3.14 mg.kg-1), Mn (12 mg.kg-1– 65 mg.kg-1), Zn (<0.04 mg.kg-1), Fe (710 mg.kg-1 - 15000 mg.kg-1), Al (1100 mg.kg-1 – 1600 mg.kg-1] were compared with some international reference values (National Oceanic and Atmospheric Administration - NOAA and Summary of Existing Canadian Environmental Quality Guidelines), which showed concentrations below the established levels, suggesting no bioavailability of these metals to the biota. The variation of the sea tides and the particle size of the samples may still hinder the accumulation of these metals in the sediment of the region. However, these levels can be harmful to benthic organisms which are fixed to the substrate being, therefore, more susceptible to contamination.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".