Bioaccumulation of Copper in Water, Sediment and Selected Fish Species from Different Trophic Level with Habitat Preferences in the Pulicat lagoon, South India
Bibliographic record
Abstract
The imbalance of copper (Cu) represents a risk to both aquatic organisms and human communities because this substance accumulates in fish which impacts the ecosystems and public health. Cu maintains crucial importance for ecosystems only at specific minimal levels but transforms into toxic substance once measured amounts exceed ecological threshold levels. Cu concentrations in water, sediment, and selected organisms (phytoplankton, zooplankton, and six fish species) were measured across sampling stations of Pulicat Lagoon over one year. Bioaccumulation, Biota sediment accumulation and Biomagnification factors were calculated. Atomic absorption spectrophotometry was employed for Cu quantification in environmental and biological samples. Cu contamination in water of Pulicat lagoon are above permissible limits as prescribed by Canadian Council of Ministers of the Environment (CCME) standard values. Cu contamination in sediment of Pulicat lagoon also exceeded the permissible limits under NOAA SQuiRT (2004). The Cu contamination found in the muscles of selected fishes was within the permissible limit of 30 µg/g, as prescribed by FAO/WHO (1989). The Bioaccumulation Factor (BAF) for Cu in the muscles of all selected fish species was below 1000, with Mugil cephalus showing the highest value in muscle at 999.23. There is no risk of Cu bioaccumulation in fish muscle of Pulicat lagoon. Biota sediment accumulation factor (BSAF) values were <1, indicates Cu is de-concentrator in Pulicat lagoon. Biomagnification Factor (BMF) indicated that there is no magnification of Cu in selected fish species in Pulicat Lagoon.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".